CN106844420B - User grouping method and device based on social network and big data analysis - Google Patents
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Abstract
The embodiment of the invention discloses a user grouping method and device based on a social network and big data analysis, and is applied to the technical field of information processing. In the method of the embodiment, the server in the social networking system determines the user group according to the matching degree between the first characteristic information of the first uploaded information files of any two existing users, so that the management of the users in the social networking system is realized. Therefore, the server can actively classify all users into a certain user group according to the content of the uploaded files of the users, the users can be classified without the request of a client, the management of the users in the system is facilitated, meanwhile, the feature information of any two existing users in the same social circle is matched with each other, but not the feature information of all the existing users is matched with each other, the social circle can be widened, the academic directions of any two existing users in the same academic social circle can be crossed, and the academic cross innovation can be facilitated.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a user grouping method and device based on social networks and big data analysis.
Background
An existing social networking system (such as a scholars social networking system) comprises a server and a client, wherein a user can upload information to the server through the client, so that the server can correspondingly store the uploaded information and a user identifier; the server may actively recommend information to the user of the client. And a user can join a certain user group with a client.
In the social system of the scholars, a user can join a certain academic circle through a client, so that a server in the system can correspondingly store the information of the user and the information of the academic circle, and the information of the academic circle is visible to the client of the user. In the prior art, a user needs to determine which academic circles are suitable for the user one by one according to the judgment of the user, and then the user joins the determined academic circles through a client, so that the user is joined into a certain user group only when the client requests, and the management of the user is not very convenient. In addition, in the prior art, users often only add an academic circle with the same academic direction, so that the academic directions of all users in the same academic circle are the same, which is not beneficial to academic cross innovation.
Disclosure of Invention
The embodiment of the invention provides a user grouping method and device based on a social network and big data analysis, which are used for determining user groups according to the matching degree of first characteristic information of uploaded files of existing users.
The embodiment of the invention provides a user grouping method, which comprises the following steps:
respectively acquiring first characteristic information of first uploading information files of a plurality of existing users;
calculating the matching degree between the first characteristic information of the first uploading information files of any two existing users in the plurality of existing users;
and determining user groups according to the calculated matching degree, wherein one user group comprises a plurality of existing users, and the matching degree between the first characteristic information of the first uploading information files of any two existing users is in a preset range.
An embodiment of the present invention further provides a user grouping apparatus, including:
the system comprises a characteristic acquisition unit, a characteristic acquisition unit and a characteristic acquisition unit, wherein the characteristic acquisition unit is used for respectively acquiring first characteristic information of first uploading information files of a plurality of existing users;
the calculating unit is used for calculating the matching degree between the first characteristic information of the first uploading information files of any two existing users in the plurality of existing users;
and the grouping determination unit is used for determining user groups according to the calculated matching degree, one user group comprises a plurality of existing users, and the matching degree between the first characteristic information of the first uploading information files of any two existing users is within a preset range.
Therefore, in the method of the embodiment, the server in the social networking system determines the user group according to the matching degree between the first characteristic information of the first uploaded information files of any two existing users, so that the management of the users in the social networking system is realized. Therefore, the server can actively classify all users into a certain user group according to the content of the uploaded files of the users, the users can be classified without the request of a client, the management of the users in the system is facilitated, meanwhile, the feature information of any two existing users in the same social circle is matched with each other, but not the feature information of all the existing users is matched with each other, the social circle can be widened, the academic directions of any two existing users in the same academic social circle can be crossed, and the academic cross innovation can be facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a user grouping method according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for determining a user group of a newly added user according to an embodiment of the present invention;
FIG. 3 is a flow chart of a user grouping method provided by an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a user grouping apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another user grouping apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
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 is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise 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.
An embodiment of the present invention provides a user grouping method, which is mainly applied to a social networking system, and the embodiment is a method executed by a server in the social networking system, where a flowchart is shown in fig. 1, and includes:
It is understood that the user may upload the file to the server through the client in the social networking system, and thus the server may store the user identifier and the uploaded file correspondingly. The server may periodically initiate a process of grouping the users of the system in this embodiment, so that a plurality of users may be classified into one user group, and the server may store the correspondence between the information of the user group and the plurality of user identifiers.
The server obtains the first characteristic information of the first uploaded information file of an existing user in the step, can extract the first keywords of the first uploaded information file of the existing user, sorts the first keywords according to the occurrence frequency of the first keywords in the first uploaded information file, and then takes a plurality of first keywords with higher occurrence frequency in the first uploaded information file as the first characteristic information corresponding to the existing user.
When the server executes the step, the number of the same keywords in the first feature information corresponding to the first existing user and the first feature information corresponding to the second existing user in any two existing users can be specifically used as the matching degree between the first feature information of the first uploaded information files of any two existing users.
And 103, determining user groups according to the matching degrees calculated in the step 102, wherein one user group comprises a plurality of existing users, and the matching degree between the first characteristic information of the first uploaded information files of any two existing users is within a preset range. And one existing user may be included in both user groups.
Specifically, if the number of the same keywords between the first feature information of the first uploaded information files of any two existing users is greater than a preset value, it can be determined that any two existing users are in one user group.
Further, the server may also send the determined information of the user group to a client corresponding to the existing user in the user group, where the information of the user group may include identification information, entry information, and the like, and the entry information may be a website link or a two-dimensional code. The client can display the information of the user group, and if the client sends a request for joining the user group to the server according to the entry information of the user group, the server returns a confirmation message to the client.
Furthermore, the server may store the correspondence between the information of the user group and the user identifier of the user in the user group.
Therefore, in the method of the embodiment, the server in the social networking system determines the user group according to the matching degree between the first characteristic information of the first uploaded information files of any two existing users, so that the management of the users in the social networking system is realized. Therefore, the server can actively classify all users into a certain user group according to the content of the uploaded files of the users, the users can be classified without the request of a client, the management of the users in the system is facilitated, meanwhile, the feature information of any two existing users in the same social circle is matched with each other, but not the feature information of all the existing users is matched with each other, the social circle can be widened, the academic directions of any two existing users in the same academic social circle can be crossed, and the academic cross innovation can be facilitated.
Referring to FIG. 2, in a specific embodiment, the server may group users newly joining the social networking system into a certain user group by:
step 201, acquiring second characteristic information of a second upload information file of a newly added user.
Specifically, when the server acquires the second feature information, the method may be similar to the method for executing step 101, specifically, the second keyword of the second uploaded information file of the newly added user may be extracted first, and a plurality of second keywords which appear in the second uploaded information file with a higher frequency may be used as the second feature information of the newly added user.
Step 202, calculating the matching degree between the second characteristic information and the first characteristic information of the first upload information file of any one existing user in the plurality of user groups, and determining the user group where the newly added user is located as follows: and grouping users corresponding to at least one first characteristic information with higher matching degree with the second characteristic information.
Further, the server may also send information of a user group of the newly added user to the client corresponding to the newly added user, where the information of the user group may include identification information, entry information, and the like, and the entry information may be a website link or a two-dimensional code. The client can display the information of the user group, and if the client sends a request for joining the user group to the server according to the entry information of the user group, the server returns a confirmation message to the client.
Further, the server may store the correspondence between the user identifier of the newly joining user and the information of the user group in which the newly joining user is located.
Further, joining a new user in the certain user group may be stopped and information that the user group is full may be noted if any of the following conditions occur: the number of users in a certain user group exceeds a preset value, etc.
In this embodiment, the social network system is a student social network system, the combination of users is an academic circle, and the first upload information file and the second upload information file are information or/and files that the users have uploaded to the social network big data and include academic information or/and academic files. Specifically, an HDFS academic big data file system and an HBASE academic big database table are established, and the acquired academic information files and the information of the academic circles corresponding to the academic information files are stored in the HDFS academic big data file system and the HBASE academic big database table. The flowchart of the method of this embodiment is shown in fig. 3, and includes:
When executing the steps of this embodiment, the server may first extract the keywords of the academic information files of the users, sort the keywords according to the frequency of occurrence of the keywords in the academic information files, and then use a plurality of keywords with higher frequency of occurrence in the academic information files as the feature information of the academic information files. For example, the top K keywords (K is a preset natural number and defaults to 10) with high frequency of occurrence are used as the feature information of the academic information file.
When the server executes this step, the number of the same keywords in the feature information of the academic information files of the two users may be specifically used as the matching degree between the feature information corresponding to the two users. For example, the number of the same keywords in 10 keywords in the feature information of one user and the feature information of another user is used as the matching degree.
An embodiment of the present invention further provides a user grouping apparatus, such as the server described above, where a schematic structural diagram of the user grouping apparatus is shown in fig. 4, and the user grouping apparatus may specifically include:
the feature obtaining unit 10 is configured to obtain first feature information of first upload information files of a plurality of existing users, respectively.
The feature obtaining unit 10 is configured to extract a first keyword of a first uploaded information file of the existing user, and use a plurality of first keywords that occur with higher frequency in the first uploaded information file as first feature information corresponding to the existing user.
A calculating unit 11, configured to calculate a matching degree between first feature information of first upload information files of any two existing users in the multiple existing users acquired by the feature acquiring unit 10;
a grouping determining unit 12, configured to determine user groups according to the matching degrees calculated by the calculating unit 11, where one user group includes a plurality of existing users, and the matching degree between the first feature information of the first upload information files of any two existing users is within a preset range.
The calculating unit 11 is specifically configured to use the number of the same keywords in the first feature information corresponding to the first existing user and the first feature information corresponding to the second existing user in the any two existing users as the matching degree between the first feature information of the first uploaded information files of the any two existing users; the grouping determining unit 12 is specifically configured to determine that any two existing users are in a user group if the number of the same keywords between the first feature information of the first long-distance transmission files of any two existing users is greater than a preset value.
And the group determination unit 12 may also store the correspondence between the information of the user group and the user identification of the user within the user group.
It should be noted that, the grouping of the users into the social circles includes academic circles, and the first uploaded information file includes academic information or/and academic files for information or/and files that the users have uploaded into the social network big data. Specifically, an HDFS academic big data file system and an HBASE academic big database table are established, and the acquired academic information files and the information of the academic circles corresponding to the academic information files are stored in the HDFS academic big data file system and the HBASE academic big database table.
In the apparatus of this embodiment, the grouping determining unit 12 determines the user grouping according to the matching degree between the first feature information of the first uploaded information files of any two existing users, so as to implement management of users in the social network system. Therefore, the user grouping device can actively classify all users into a certain user group according to the content of the uploaded files of the users, and can group the users without a client request, so that the users in the system can be conveniently managed, meanwhile, the characteristic information of any two existing users in the same social circle is matched with each other, but the characteristic information of all the existing users is not matched with each other, the social circle can be widened, the academic directions of any two existing users in the same academic social circle can be crossed, and the academic cross innovation can be facilitated.
Referring to fig. 5, in a specific embodiment, the user grouping apparatus may further include, in addition to the structure shown in fig. 4: an information transmitting unit 13 and a limiting unit 14, in the present embodiment:
the characteristic obtaining unit 10 is further configured to obtain second characteristic information of a second upload information file of a newly added user;
the calculating unit 11 is further configured to calculate matching degrees between the second feature information and the first feature information of the first upload information file of any one existing user in the plurality of user groups;
the grouping determining unit 12 is further configured to determine that the user group in which the newly joining user is located is: and grouping users corresponding to at least one first characteristic information with higher matching degree with the second characteristic information. In this embodiment, the grouping determination unit 12 may further store a corresponding relationship between the user identifier of the newly added user and the information of the user group in which the newly added user is located.
An information sending unit 13, configured to send the information of the user group determined by the group determining unit 12 to a client corresponding to an existing user in the user group.
A limiting unit 14, configured to stop adding a new user to a certain user group if the number of users in the certain user group exceeds a preset value.
The present invention further provides a server, which is schematically shown in fig. 6, and the server may generate a relatively large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 20 (e.g., one or more processors) and a memory 21, and one or more storage media 22 (e.g., one or more mass storage devices) for storing the application programs 221 or the data 222. Wherein the memory 21 and the storage medium 22 may be a transient storage or a persistent storage. The program stored on the storage medium 22 may include one or more modules (not shown), each of which may include a series of instruction operations for the server. Still further, the central processor 20 may be configured to communicate with the storage medium 22 to execute a series of instruction operations in the storage medium 22 on the server.
Specifically, the application programs 221 stored in the storage medium 22 include application programs grouped by users, and the programs may include the feature acquisition unit 10, the calculation unit 11, the grouping determination unit 12, the information transmission unit 13, and the restriction unit 14 in the user grouping device, which will not be described in detail herein. Still further, the central processor 20 may be configured to communicate with the storage medium 22 to execute a series of operations on the server corresponding to the user-grouped application programs stored in the storage medium 22.
The server may also include one or more power supplies 23, one or more wired or wireless network interfaces 24, one or more input-output interfaces 25, and/or one or more operating systems 223, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and the like.
The steps performed by the server in the above-described method embodiment may be based on the structure of the server shown in fig. 6.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
The social network and big data analysis-based user grouping method and device provided by the embodiment of the invention are described in detail above, a specific example is applied in the text to explain the principle and the implementation of the invention, and the description of the above embodiment is only used to help understanding the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (8)
1. A method for grouping users, comprising:
respectively acquiring first characteristic information of first uploading information files of a plurality of existing users;
calculating the matching degree between the first characteristic information of the first uploading information files of any two existing users in the plurality of existing users;
determining user groups according to the calculated matching degree, wherein one user group comprises a plurality of existing users, and the matching degree between the first characteristic information of the first uploading information files of any two existing users is within a preset range;
the calculating the matching degree between the first characteristic information of the first uploaded information files of any two existing users in the plurality of existing users specifically comprises:
taking the number of the same keywords in the first characteristic information corresponding to the first existing user and the first characteristic information corresponding to the second existing user in any two existing users as the matching degree between the first characteristic information of the first uploaded information files of any two existing users;
and if the number of the same keywords between the first characteristic information of the first uploaded information files of any two existing users is larger than a preset value, determining that the any two existing users are in one user group.
2. The method of claim 1,
acquiring first characteristic information of a first uploading information file of the existing user, which specifically comprises the following steps: and extracting first keywords of a first uploaded information file of the existing user, and taking a plurality of first keywords with higher frequency in the first uploaded information file as first characteristic information corresponding to the existing user.
3. The method of claim 1 or 2, wherein the method further comprises:
acquiring second characteristic information of a second uploading information file of a newly added user;
calculating the matching degree between the second characteristic information and the first characteristic information of the first uploading information file of any one existing user in a plurality of user groups respectively, and determining the user group where the newly added user is located as follows: and grouping users corresponding to at least one first characteristic information with higher matching degree with the second characteristic information.
4. The method of claim 1 or 2, wherein the method further comprises:
and sending the determined information of the user group to a client corresponding to the existing user in the user group.
5. The method of claim 1 or 2, wherein the method further comprises:
and if the number of the users in a certain user group exceeds a preset value, stopping adding a new user in the certain user group.
6. The method of claim 1 or 2, wherein the grouping of the users into social circles comprises academic circles, and the first uploaded information file comprises academic information or/and files for information or/and files which the users have uploaded into social network big data.
7. A user grouping apparatus, comprising:
the system comprises a characteristic acquisition unit, a characteristic acquisition unit and a characteristic acquisition unit, wherein the characteristic acquisition unit is used for respectively acquiring first characteristic information of first uploading information files of a plurality of existing users;
the calculating unit is used for calculating the matching degree between the first characteristic information of the first uploading information files of any two existing users in the plurality of existing users;
the grouping determination unit is used for determining user groups according to the calculated matching degree, one user group comprises a plurality of existing users, and the matching degree between the first characteristic information of the first uploading information files of any two existing users is within a preset range;
the computing unit is specifically configured to use the number of the same keywords in the first feature information corresponding to the first existing user and the first feature information corresponding to the second existing user in the any two existing users as a matching degree between the first feature information of the first uploaded information files of the any two existing users;
the grouping determining unit is specifically configured to determine that any two existing users are in one user group if the number of the same keywords between the first feature information of the first uploaded information files of any two existing users is greater than a preset value.
8. The apparatus of claim 7,
the feature obtaining unit is configured to extract a first keyword of a first uploaded information file of the existing user, and use a plurality of first keywords that occur with a high frequency in the first uploaded information file as first feature information corresponding to the existing user.
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| CN109427016A (en) * | 2017-08-23 | 2019-03-05 | 知识产权出版社有限责任公司 | Community construction method and device and storage medium, processor |
| CN108881417A (en) * | 2018-05-31 | 2018-11-23 | 上海爱优威软件开发有限公司 | A kind of user interaction approach and system based on local area network |
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