CN109257617B - Method for determining suspected user in live broadcast platform and related equipment - Google Patents
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Abstract
The embodiment of the invention provides a method for determining a suspected user in a live broadcast platform, which can more accurately identify a malicious user refreshing in the live broadcast platform, and can not omit the malicious user refreshing with unobvious characteristics in the live broadcast platform. The method comprises the following steps: determining a first user set and a second user set in a live broadcast platform; calculating the similarity between any two users in the live broadcast platform; calculating a first score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the first user set; calculating a second score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the second user set; calculating the suspicion degree of each user in the live broadcast platform according to the first score and the second score; and determining the users with the suspicion degree larger than a preset threshold value as the suspected users.
Description
Technical Field
The invention relates to the field of live broadcast, in particular to a method for determining a suspected user in a live broadcast platform and related equipment.
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 the live broadcast platform, false human qi brushing behaviors often exist for achieving certain purposes, and the human qi brushing behaviors can greatly affect the live broadcast ecology of the platform. There is therefore a need for effective methods of identifying those users who have a suspicion of swipes.
The usual method of identifying abnormal behavior of interest is to use strong rules that are identified by more obvious abnormalities, such as a few. 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 and related equipment for determining a suspected user in a live broadcast platform, which can more accurately identify a malicious user with popularity in the live broadcast platform without omitting the malicious user with popularity in the live broadcast platform, wherein the malicious user with popularity has unobvious characteristics.
A first aspect of an embodiment of the present invention provides a method for determining a suspected user in a live broadcast platform, including:
determining a first user set and a second user set in a live broadcast platform, wherein the attributes of users in the first user set are different from the attributes of users in the second user set;
calculating the similarity between any two users in the live broadcast platform;
calculating a first score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the first user set;
calculating a second score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the second user set;
calculating the suspicion degree of each user in the live broadcast platform according to the first score and the second score;
and determining the users with the suspicion degree larger than a preset threshold value as the suspected users.
Optionally, the calculating the similarity between any two users in the live platform includes:
calculating the similarity between any two users in the live broadcast platform through the following formula:
wherein, wuvIs the similarity between any user u in the live broadcast platform and any user v in the live broadcast platform, RuSet of live rooms watched by said user u, RvSet of live rooms, x, watched for said user vuiTo be related to the viewing behavior of said user uN is the number of characteristic indicators related to the viewing behavior of the user u, wi(i is 1,2) is a weight coefficient, and 0. ltoreq. wi(i＝1,2)≤1，
Optionally, the calculating a first score of each user in the live platform according to the similarity between any two users in the live platform and the initial attribute value of each user in the first user set includes:
iteratively calculating a first score for each user in the live platform by repeatedly executing the following formula:
wherein S isk(i) A first score of any user i in the live broadcast platform in the k iteration is obtained;
Sk-1(i) a first score of any user i in the live broadcast platform in the k-1 th iteration is given;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjiand n is the number of users in the live broadcast platform, the initial attribute value of each user in the first user set is set as a first preset value, the initial attribute values of other users except the first user set in the live broadcast platform are set as second preset values, and the first preset value and the second preset value are different preset values.
Optionally, the calculating a second score of each user in the live platform according to the similarity between any two users in the live platform and the initial attribute value of each user in the second user set includes:
iteratively calculating a second score for each user in the live platform by repeatedly executing the following formula:
wherein N isk(i) A second score of any user i in the live broadcast platform in the k iteration is given;
Nk-1(i) a second score of any user i in the live broadcast platform in the k-1 th iteration is given;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjiand n is the number of users in the live broadcast platform, the initial attribute value of each user in the second user set is set to be a third preset value, the initial attribute values of other users except the second user set in the live broadcast platform are set to be a fourth preset value, and the third preset value and the fourth preset value are different preset values.
Optionally, the calculating the suspicion degree of each user in the live platform according to the first score and the second score includes:
calculating the suspicion degree of each user in the live broadcast platform through the following formula:
wherein s (i) is a first score of any user i in the live platform, n (i) is a second score of any user i in the live platform, and score (i) is a suspicion degree of the user i.
A second aspect of the embodiments of the present invention provides a device for determining a suspected user in a live broadcast platform, including:
the device comprises a first determining unit, a second determining unit and a processing unit, wherein the first determining unit is used for determining a first user set and a second user set in a live broadcast platform, and the attributes of users in the first user set are different from the attributes of users in the second user set;
the first calculating unit is used for calculating the similarity between any two users in the live broadcast platform;
the second calculating unit is used for calculating a first score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the first user set;
a third calculating unit, configured to calculate a second score of each user in the live broadcast platform according to a similarity between any two users in the live broadcast platform and the initial attribute value of each user in the second user set;
the fourth calculating unit is used for calculating the suspicion degree of each user in the live broadcast platform according to the first score and the second score;
and the second determining unit is used for determining the user with the suspicion degree larger than a preset threshold value as a suspected user.
Optionally, the first computing unit is specifically configured to:
calculating the similarity between any two users in the live broadcast platform through the following formula:
wherein, wuvIs the similarity between any user u in the live broadcast platform and any user v in the live broadcast platform, RuSet of live rooms watched by said user u, RvSet of live rooms, x, watched for said user vuiIs the ith characteristic index related to the viewing behavior of the user u, N is the number of the characteristic indexes related to the viewing behavior of the user u, wi(i is 1,2) is a weight coefficient, and 0. ltoreq. wi(i＝1,2)≤1，
Optionally, the second computing unit is specifically configured to:
iteratively calculating a first score for each user in the live platform by repeatedly executing the following formula:
wherein S isk(i) A first score of any user i in the live broadcast platform in the k iteration is obtained;
Sk-1(i) a first score of any user i in the live broadcast platform in the k-1 th iteration is given;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjiand n is the number of users in the live broadcast platform, the initial attribute value of each user in the first user set is set as a first preset value, the initial attribute values of other users except the first user set in the live broadcast platform are set as second preset values, and the first preset value and the second preset value are different preset values.
Optionally, the third computing unit is specifically configured to:
iteratively calculating a second score for each user in the live platform by repeatedly executing the following formula:
wherein N isk(i) A second score of any user i in the live broadcast platform in the k iteration is given;
Nk-1(i) a second score of any user i in the live broadcast platform in the k-1 th iteration is given;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjiis the similarity between any user i in the live broadcast platform and any user j in the live broadcast platform, and n is the live broadcast platformThe initial attribute value of each user in the second user set is set to a third preset value, the initial attribute values of other users in the live broadcast platform except the second user set are set to a fourth preset value, and the third preset value and the fourth preset value are different preset values.
Optionally, the fourth calculating unit is specifically configured to:
calculating the suspicion degree of each user in the live broadcast platform through the following formula:
wherein s (i) is a first score of any user i in the live platform, n (i) is a second score of any user i in the live platform, and score (i) is a suspicion degree of the user i.
A third aspect of the present invention provides an electronic device, including a memory and a processor, where the processor is configured to implement, when executing a computer management program stored in the memory, the steps of the method for determining a suspected user in a live broadcast platform according to any one of the above items.
A fourth aspect of the present invention provides a computer-readable storage medium having a computer management-like program stored thereon, characterized in that: when executed by a processor, the computer management program implements the steps of any of the above methods for determining a suspected user in a live broadcast platform.
In summary, in the embodiment of the present invention, the similarity between any two users in the live broadcast platform is calculated, the normal score and the suspicion score of each user are iteratively calculated according to the similarity, the suspicion of each user is finally calculated, and the user whose suspicion is greater than the preset threshold is determined as the suspected user, so that the user who maliciously swipes in the live broadcast platform can be more accurately identified, and the user who maliciously swipes in an unobvious characteristic is not missed.
Drawings
Fig. 1 is a schematic flowchart of a method for determining a suspected user in a live broadcast platform 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 in a live broadcast platform according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a hardware structure of an apparatus for determining a suspected user in a live broadcast platform 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 and related equipment for determining a suspected user in a live broadcast platform, which can more accurately identify a malicious user refreshing in the live broadcast platform without missing the malicious user refreshing with unobvious characteristics.
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 determining the suspected user in the live broadcast platform provided by the embodiment of the present invention is described below from the perspective of a device for determining the suspected user in the live broadcast platform, where the device for determining the suspected user in the live broadcast platform may be a server or a server unit in the server, and is not particularly limited.
Referring to fig. 1, fig. 1 is a schematic view of an embodiment of a method for determining a suspected user in a live broadcast platform according to an embodiment of the present invention, including:
101. a first set of users and a second set of users in a live platform are determined.
In this embodiment, the device for determining the suspected user in the live broadcast platform may determine a first user set and a second user set in the live broadcast platform, where attributes of users in the first user set are different from attributes of users in the second user set, specifically, the device for determining the suspected user in the live broadcast platform may find users with false attention behavior obviously, that is, users in the first user set, through a strong rule, where each user in the first user set has a significant abnormal characteristic, the strong rule generally indicates that the user watches a room using an abnormal IP, the user is a batch registered user, and the like; the means for determining the suspected user in the live platform may determine the second set of users by a white list, where the white list refers to users who are not suspected of being swiped at all, and the white list is formed according to a rule that the user has a charging behavior in a recent period of time, the user rank is greater than 10, and the user is not among known people swiped users.
It is to be understood that the above description is only given by taking the determination of the first user set by the strong rule and the determination of the second user set by the white list as an example, but the first user set and the second user set may also be determined by other manners, such as by manually performing screening determination, and the details are not limited.
102. And calculating the similarity between any two users in the live platform.
In this embodiment, the apparatus for determining a suspected user in the live broadcast platform may calculate the similarity between any two users in the live broadcast platform according to the following formula:
wherein, wuvFor the similarity between any user u in the live platform and any user v in the live platform, RuSet of live rooms watched for user u, RvSet of live rooms, x, watched for user vuiIs the ith characteristic index related to the viewing behavior of the user u, N is the number of the characteristic indexes related to the viewing behavior of the user u, wi(i is 1,2) is a weight coefficient, and 0. ltoreq. wi(i＝1,2)≤1，
103. And calculating a first score of each user in the live platform according to the similarity between any two users in the live platform and the initial attribute value of each user in the first user set.
In this embodiment, the apparatus for determining a suspected user in the live broadcast platform may first set the initial attribute value of each user in the first user set as a first preset value (the first user set is a set of suspected users, the first score is a suspected score, and the initial attribute value may be, for example, 1, or other, or specifically not limited), and may set the initial attribute values of other users in the live broadcast platform except the first set as second preset values (for example, 0, or other, or specifically not limited), and then repeatedly execute the following formula, and iteratively calculate the first score of each user in the live broadcast platform:
wherein S isk(i) A first score of any user i in the live broadcast platform in the k iteration is obtained;
Sk-1(i) a first score of any user i in the live broadcast platform in the k-1 th iteration is given;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjiand n is the number of users in the live platform.
It should be noted that the termination condition of the iterative computation may be that the first score converges or that the number of iterations reaches a preset value, for example, 1000 times, and is not limited specifically.
104. And calculating a second score of each user in the live platform according to the similarity between any two users in the live platform and the initial attribute value of each user in the second user set.
In this embodiment, the apparatus for determining a suspected user in the live broadcast platform may first set the initial attribute value of each user in the second user set as a third preset value (the second user set is a set of users in a white list, and the second score is a normal score, and the initial attribute value may be, for example, 1, or may be other, or is not specifically limited), and may also set the initial attribute values of other users in the live broadcast platform except the second set as second preset values (for example, 0, or may be other, or is not specifically limited), and then repeatedly execute the following formula, and iteratively calculate the second score of each user in the live broadcast platform:
wherein N isk(i) A second score of any user i in the live broadcast platform in the k iteration is given;
Nk-1(i) a second score of any user i in the live broadcast platform in the k-1 th iteration is given;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjithe similarity between any user i in the live broadcast platform and any user j in the live broadcast platform is shown, and n is the number of users in the live broadcast platform.
It should be noted that the termination condition of the iterative computation may be that the second score converges or that the number of iterations reaches a preset value, for example, 1000 times, and is not limited specifically.
105. And calculating the suspicion degree of each user in the live broadcast platform according to the first score and the second score.
In this embodiment, after the device for determining the suspected user in the live broadcast platform obtains the first score of each user and the second score of each user through iterative computation, the suspicion degree of each user in the live broadcast platform may be calculated through the following formula:
wherein, s (i) is a first score of any user i in the live platform, n (i) is a second score of any user i in the live platform, and score (i) is a suspicion degree of the user i.
106. And determining the users with the suspicion degree larger than a preset threshold value as the suspected users.
In this embodiment, the device for determining the suspected user in the live broadcast platform may determine, after calculating the suspicion degree of each user in the live broadcast platform, the user whose suspicion degree is greater than a preset threshold value, that is, the malicious user who swipes his breath, as the suspected user, where the preset threshold value is, for example, 0.8, and certainly, the preset threshold value may be other, and is not limited specifically.
In summary, in the embodiment of the present invention, the similarity between any two users in the live broadcast platform is calculated, the normal score and the suspicion score of each user are iteratively calculated according to the similarity, the suspicion of each user is finally calculated, and the user whose suspicion is greater than the preset threshold is determined as the suspected user, so that the user who maliciously swipes in the live broadcast platform can be more accurately identified, and the user who maliciously swipes in an unobvious characteristic is not missed.
The method for determining the suspected user in the live broadcast platform in the embodiment of the present invention is described above, and the apparatus for determining the suspected user in the live broadcast platform in the embodiment of the present invention is described below.
Referring to fig. 2, an embodiment of the apparatus for determining a suspected user in a live broadcast platform according to an embodiment of the present invention includes:
a first determining unit 201, configured to determine a first user set and a second user set in a live broadcast platform, where attributes of users in the first user set are different from attributes of users in the second user set;
a first calculating unit 202, configured to calculate a similarity between any two users in the live broadcast platform;
a second calculating unit 203, configured to calculate a first score of each user in the live platform according to a similarity between any two users in the live platform and an initial attribute value of each user in the first user set;
a third calculating unit 204, configured to calculate a second score of each user in the live platform according to a similarity between any two users in the live platform and the initial attribute value of each user in the second user set;
a fourth calculating unit 205, configured to calculate a suspicion degree of each user in the live platform according to the first score and the second score;
a second determining unit 206, configured to determine the user with the suspicion degree greater than a preset threshold as a suspected user.
Optionally, the first computing unit 202 is specifically configured to:
calculating the similarity between any two users in the live broadcast platform through the following formula:
wherein, wuvIs the similarity between any user u in the live broadcast platform and any user v in the live broadcast platform, RuSet of live rooms watched by said user u, RvSet of live rooms, x, watched for said user vuiIs the ith characteristic index related to the viewing behavior of the user u, and N is the viewing behavior of the user uNumber of related characteristic indexes, wi(i is 1,2) is a weight coefficient, and 0. ltoreq. wi(i＝1,2)≤1，
Optionally, the second calculating unit 203 is specifically configured to:
iteratively calculating a first score for each user in the live platform by repeatedly executing the following formula:
wherein S isk(i) A first score of any user i in the live broadcast platform in the k iteration is obtained;
Sk-1(i) a first score of any user i in the live broadcast platform in the k-1 th iteration is given;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjiand n is the number of users in the live broadcast platform, the initial attribute value of each user in the first user set is set as a first preset value, the initial attribute values of other users except the first user set in the live broadcast platform are set as second preset values, and the first preset value and the second preset value are different preset values.
Optionally, the third calculating unit 204 is specifically configured to:
iteratively calculating a second score for each user in the live platform by repeatedly executing the following formula:
wherein N isk(i) A second score of any user i in the live broadcast platform in the k iteration is given;
Nk-1(i) is the direct broadcast platformA second score of any user i in the station at the k-1 th iteration;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjiand n is the number of users in the live broadcast platform, the initial attribute value of each user in the second user set is set to be a third preset value, the initial attribute values of other users except the second user set in the live broadcast platform are set to be a fourth preset value, and the third preset value and the fourth preset value are different preset values.
Optionally, the fourth calculating unit 205 is specifically configured to:
calculating the suspicion degree of each user in the live broadcast platform through the following formula:
wherein s (i) is a first score of any user i in the live platform, n (i) is a second score of any user i in the live platform, and score (i) is a suspicion degree of the user i. In summary, in the embodiment of the present invention, the similarity between any two users in the live broadcast platform is calculated, the normal score and the suspicion score of each user are iteratively calculated according to the similarity, the suspicion of each user is finally calculated, and the user whose suspicion is greater than the preset threshold is determined as the suspected user, so that the user who maliciously swipes in the live broadcast platform can be more accurately identified, and the user who maliciously swipes in an unobvious characteristic is not missed.
Fig. 2 describes the apparatus for determining a suspected user in a live broadcast platform in an embodiment of the present invention from the perspective of a modular functional entity, and the apparatus for determining a suspected user in a live broadcast platform in an 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 a live broadcast platform in an 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 302, 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:
determining a first user set and a second user set in a live broadcast platform, wherein the attributes of users in the first user set are different from the attributes of users in the second user set;
calculating the similarity between any two users in the live broadcast platform;
calculating a first score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the first user set;
calculating a second score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the second user set;
calculating the suspicion degree of each user in the live broadcast platform according to the first score and the second score;
and determining the users with the suspicion degree larger than a preset threshold value as the suspected users.
In a specific implementation process, the processor 303 may implement any implementation manner in the embodiment corresponding to 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:
determining a first user set and a second user set in a live broadcast platform, wherein the attributes of users in the first user set are different from the attributes of users in the second user set;
calculating the similarity between any two users in the live broadcast platform;
calculating a first score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the first user set;
calculating a second score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the second user set;
calculating the suspicion degree of each user in the live broadcast platform according to the first score and the second score;
and determining the users with the suspicion degree larger than a preset threshold value as the suspected users.
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 an apparatus used for implementing a device for determining a suspected user in a live broadcast platform 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 and various variations of the electronic device in this embodiment, 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 apparatus used for implementing the method in the embodiment of the present invention, the apparatus belongs to the scope to be protected by 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:
determining a first user set and a second user set in a live broadcast platform, wherein the attributes of users in the first user set are different from the attributes of users in the second user set;
calculating the similarity between any two users in the live broadcast platform;
calculating a first score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the first user set;
calculating a second score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the second user set;
calculating the suspicion degree of each user in the live broadcast platform according to the first score and the second score;
and determining the users with the suspicion degree larger than a preset threshold value as the suspected users.
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 (6)
1. A method for determining a suspected user in a live platform is characterized by comprising the following steps:
determining a first user set and a second user set in a live broadcast platform, wherein the attributes of users in the first user set are different from the attributes of users in the second user set, each user in the first user set has a remarkable abnormal feature, and each user in the second user set is a user without any suspicion of people brushing;
calculating the similarity between any two users in the live broadcast platform;
calculating a first score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the first user set;
calculating a second score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the second user set;
calculating the suspicion degree of each user in the live broadcast platform according to the first score and the second score;
determining the users with the suspicion degree larger than a preset threshold value as suspected users;
the calculating the suspicion degree of each user in the live platform according to the first score and the second score comprises:
calculating the suspicion degree of each user in the live broadcast platform through the following formula:
wherein s (i) is a first score of any user i in the live platform, n (i) is a second score of any user i in the live platform, score (i) is a suspicion degree of the user i;
the calculating a first score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the first user set includes:
iteratively calculating a first score for each user in the live platform by repeatedly executing the following formula:
wherein S isk(i) A first score of any user i in the live broadcast platform in the k iteration is obtained;
Sk-1(i) a first score of any user i in the live broadcast platform in the k-1 th iteration is given;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjisetting an initial attribute value of each user in the first user set as a first preset value, setting initial attribute values of other users except the first user set in the live broadcast platform as second preset values, wherein the first preset value and the second preset values are different preset values;
the calculating a second score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the second user set includes:
iteratively calculating a second score for each user in the live platform by repeatedly executing the following formula:
wherein N isk(i) A second score of any user i in the live broadcast platform in the k iteration is given;
Nk-1(i) a second score of any user i in the live broadcast platform in the k-1 th iteration is given;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjiand n is the number of users in the live broadcast platform, the initial attribute value of each user in the second user set is set to be a third preset value, the initial attribute values of other users except the second user set in the live broadcast platform are set to be a fourth preset value, and the third preset value and the fourth preset value are different preset values.
2. The method of claim 1, wherein calculating the similarity between any two users in the live platform comprises:
calculating the similarity between any two users in the live broadcast platform through the following formula:
wherein, wuvIs the similarity between any user u in the live broadcast platform and any user v in the live broadcast platform, RuSet of live rooms watched by said user u, RvSet of live rooms, x, watched for said user vuiIs the ith characteristic index, x, related to the viewing behavior of the user uviIs the ith characteristic index related to the viewing behavior of the user v, N is the number of the characteristic indexes related to the viewing behavior of the user u, wi(i is 1,2) is a weight coefficient, and 0. ltoreq. wi(i＝1,2)≤1，
3. An apparatus for determining a suspected user in a live platform, comprising:
the device comprises a first determining unit, a second determining unit and a processing unit, wherein the first determining unit is used for determining a first user set and a second user set in a live broadcast platform, the attributes of users in the first user set are different from the attributes of users in the second user set, each user in the first user set has obvious abnormal features, and each user in the second user set is a user without suspicion of people brushing;
the first calculating unit is used for calculating the similarity between any two users in the live broadcast platform;
the second calculating unit is used for calculating a first score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the first user set;
a third calculating unit, configured to calculate a second score of each user in the live broadcast platform according to a similarity between any two users in the live broadcast platform and the initial attribute value of each user in the second user set;
the fourth calculating unit is used for calculating the suspicion degree of each user in the live broadcast platform according to the first score and the second score;
the second determining unit is used for determining the users with the suspicion degrees larger than a preset threshold value as suspected users;
the calculating the suspicion degree of each user in the live platform according to the first score and the second score comprises:
calculating the suspicion degree of each user in the live broadcast platform through the following formula:
wherein s (i) is a first score of any user i in the live platform, n (i) is a second score of any user i in the live platform, score (i) is a suspicion degree of the user i;
the calculating a first score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the first user set includes:
iteratively calculating a first score for each user in the live platform by repeatedly executing the following formula:
wherein S isk(i) A first score of any user i in the live broadcast platform in the k iteration is obtained;
Sk-1(i) a first score of any user i in the live broadcast platform in the k-1 th iteration is given;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjisetting an initial attribute value of each user in the first user set as a first preset value, setting initial attribute values of other users except the first user set in the live broadcast platform as second preset values, wherein the first preset value and the second preset values are different preset values;
the calculating a second score of each user in the live broadcast platform according to the similarity between any two users in the live broadcast platform and the initial attribute value of each user in the second user set includes:
iteratively calculating a second score for each user in the live platform by repeatedly executing the following formula:
wherein N isk(i) A second score of any user i in the live broadcast platform in the k iteration is given;
Nk-1(i) a second score of any user i in the live broadcast platform in the k-1 th iteration is given;
alpha is a weight coefficient, and alpha is more than or equal to 0 and less than or equal to 1;
wjiand n is the number of users in the live broadcast platform, the initial attribute value of each user in the second user set is set to be a third preset value, the initial attribute values of other users except the second user set in the live broadcast platform are set to be a fourth preset value, and the third preset value and the fourth preset value are different preset values.
4. The apparatus according to claim 3, wherein the first computing unit is specifically configured to:
calculating the similarity between any two users in the live broadcast platform through the following formula:
wherein, wuvIs the similarity between any user u in the live broadcast platform and any user v in the live broadcast platform, RuSet of live rooms watched by said user u, RvSet of live rooms, x, watched for said user vuiIs the ith characteristic index, x, related to the viewing behavior of the user uviIs the ith characteristic index related to the viewing behavior of the user v, N is the number of the characteristic indexes related to the viewing behavior of the user u, wi(i is 1,2) is a weight coefficient, and 0. ltoreq. wi(i＝1,2)≤1，
5. 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 in a live platform of claim 1 or 2 when executing a computer management class program stored in the memory.
6. 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 in a live platform as claimed in claim 1 or 2.
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| CN110222297B (en) * | 2019-06-19 | 2021-07-23 | 武汉斗鱼网络科技有限公司 | Identification method of tag user and related equipment |
| CN112583785B (en) * | 2019-09-30 | 2023-05-05 | 卡巴斯基实验室股份制公司 | System and method for analyzing relationships between clusters of electronic devices to address network attacks |
| CN114020996A (en) * | 2021-09-26 | 2022-02-08 | 武汉斗鱼网络科技有限公司 | Method, device, medium and computer equipment for identifying abnormal watching user |
| CN114024737B (en) * | 2021-11-02 | 2023-10-17 | 上海哔哩哔哩科技有限公司 | Method, apparatus and computer readable storage medium for determining live room volume |
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