CN113282772A - User searching method and system based on 5G message - Google Patents
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Abstract
The invention relates to a user search method and system based on 5G message, its method includes the following steps, S1, the main server receives the search information based on 5G message that the search user sends out through the 5G communication base station; s2, performing semantic recognition on the search information in the main server to generate a search keyword; s3, data mining is carried out on the search data in the main server to generate search data; and S4, searching the search material in the secondary server related to the main server by utilizing the marginalized search method to obtain a search result. In the user searching method and the system based on the 5G message, firstly, the searching information based on the 5G message is subjected to semantic recognition, accurate searching data can be obtained, then data mining is carried out, and finally, searching is carried out by combining an edge algorithm, so that the user searching can be rapidly realized.
Description
Technical Field
The invention relates to the field of communication, in particular to a user searching method and a user searching system based on 5G messages.
Background
User search technology on mobile communications has developed over the years and has essentially become an integral part of modern people's lives. The rapid development of mobile communication technology has greatly reduced the possibility and convenience of directly acquiring required information. The emergence of information search technology has greatly solved this problem of increasing annoyance. With the advent of 5G mobile communication, diversification of 5G messages brings about a small challenge to user search, and how to quickly and accurately implement user search on the basis of 5G messages is a problem to be solved urgently at present.
Disclosure of Invention
The invention aims to provide a user searching method and a user searching system based on 5G messages, which can quickly and accurately realize user searching on the basis of the 5G messages.
The technical scheme for solving the technical problems is as follows: a user searching method based on 5G message comprises the following steps,
s1, the main server receives the search information based on the 5G message sent by the search user through the 5G communication base station;
s2, performing semantic recognition on the search information in the main server to generate a search keyword;
s3, data mining is carried out on the search data in the main server to generate search data;
and S4, searching the search material in the secondary server related to the main server by utilizing the marginalized search method to obtain a search result.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, in the S1, the format of the 5G message is any one format or a combination of formats of text, picture, video and audio.
Further, in S2, the search information is input to a pre-trained semantic recognition network model based on multimedia in the main server, so as to generate the search keyword.
Further, the step S3 is specifically to generalize the search keyword in the main server to obtain a generalized keyword; and combining the search keywords and the generalization keywords to obtain the search data.
Further, in S4, specifically,
taking the main server as a center and taking an auxiliary server in direct communication connection or indirect communication connection with the main server as an edge, constructing an edge-based server cluster, and forming a server topological graph according to the server cluster;
dividing and classifying the search data in the main server to obtain a plurality of sub-search data, and loading all the sub-search data to the server topological graph to enable each sub-search data to be sent to different secondary servers;
searching the received sub-search data in the sub-server receiving the sub-search data to obtain a sub-search result, and feeding back the sub-search result to the main server;
and summarizing all the sub-search results in the main server to obtain the search results.
Based on the user searching method based on the 5G message, the invention also provides a user searching system based on the 5G message.
A user search system based on 5G messages comprises the following modules,
the receiving module is used for receiving search information which is sent by a search user through a 5G communication base station and is based on a 5G message;
the semantic recognition module is used for carrying out semantic recognition on the search information to generate search keywords;
the data mining module is used for carrying out data mining on the search data to generate search data;
and the searching module is used for searching the searching data by utilizing an marginalized searching method to obtain a searching result.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the format of the 5G message is any one format or a combination of multiple formats of text, pictures, video and audio.
Further, the semantic recognition module is specifically configured to input the search information into a pre-trained multimedia-based semantic recognition network model, and generate the search keyword.
Further, the data mining module is specifically configured to generalize the search keyword to obtain a generalized keyword; and combining the search keywords and the generalization keywords to obtain the search data.
Further, the search module is specifically configured to,
taking a main server as a center and taking an auxiliary server which is in direct communication connection or indirect communication connection with the main server as an edge, constructing an edge-based server cluster, and forming a server topological graph according to the server cluster;
dividing and classifying the search data in the main server to obtain a plurality of sub-search data, and loading all the sub-search data to the server topological graph to enable each sub-search data to be sent to different secondary servers;
searching the received sub-search data in the sub-server receiving the sub-search data to obtain a sub-search result, and feeding back the sub-search result to the main server;
and summarizing all the sub-search results in the main server to obtain the search results.
The invention has the beneficial effects that: in the user searching method and the system based on the 5G message, firstly, the searching information based on the 5G message is subjected to semantic recognition, accurate searching data can be obtained, then data mining is carried out, and finally, searching is carried out by combining an edge algorithm, so that the user searching can be rapidly realized.
Drawings
FIG. 1 is a flow chart of a user search method based on 5G messages according to the present invention;
FIG. 2 is a flow chart of receiving search information in an embodiment of the present invention;
FIG. 3 is a topology diagram of a 5G communication network according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a semantic recognition network model according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a base station topology according to an embodiment of the present invention;
fig. 6 is a block diagram of a user search system based on 5G messages according to the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, a user search method based on a 5G message includes the steps of,
s1, the main server receives the search information based on the 5G message sent by the search user through the 5G communication base station;
s2, performing semantic recognition on the search information in the main server to generate a search keyword;
s3, data mining is carried out on the search data in the main server to generate search data;
and S4, searching the search material in the secondary server related to the main server by utilizing the marginalized search method to obtain a search result.
In this particular embodiment: as shown in fig. 2, the specific process of S1 is as follows: receiving search information based on a 5G message submitted by a search user through a 5G communication base station closest to the search user; determining a main server corresponding to the 5G communication base station closest to the search user according to the position topological relation of the 5G communication base station closest to the search user in the whole 5G communication network; and controlling the 5G communication base station closest to the searching user to forward the searching information based on the 5G message to the main server.
By receiving the search information based on the 5G message submitted by the search user through the 5G communication base station closest to the search user, the time for the search user to connect to the main server can be shortened, and the speed for establishing the network connection is accelerated. In addition, the main server corresponding to the 5G communication base station closest to the search user is determined according to the position topological relation of the 5G communication base station closest to the search user in the whole 5G communication network, and the main server can be determined quickly and accurately.
Fig. 3 shows an exemplary topology of a 5G communication network, in which a plurality of 5G communication base stations are provided, and all of the 5G communication base stations communicate with a corresponding main server. Assuming that a 5G communication base station closest to a search user is specifically a 5G communication base station 3, and a main server corresponding to the 5G communication base station 3 is a main server 1, in a process of establishing a network connection between the search user and the main server 1, the search user needs to search the main server 1 from a plurality of main servers, determine the main server 1 as a target base station, and establish a network connection with the target base station, but it takes time to search the target main server from the plurality of main servers. In order to save the time of searching a target main server by a searching user, the searching information based on the 5G message is firstly sent to the 5G communication base station 3 which is closest to the searching user, and the sending time can be saved when the distance is closest to the searching user; and because the 5G communication base station 3 has a network topology relation with the main server 1 in the 5G communication network topology map, the 5G communication base station 3 can establish network communication with the main server 1, thereby avoiding the time consumed by searching the target main server directly by the user.
In this particular embodiment: the format of the 5G message is any one format or a combination of multiple formats of text, pictures, video and audio.
In this particular embodiment: the step S2 is specifically, inputting the search information into a pre-trained semantic recognition network model based on multimedia, and generating the search keyword.
The 5G message is the upgrade of the short message service, is a basic telecommunication service of an operator, realizes the leap of service experience based on the I P technology, and has more supported media formats and richer expression forms. Therefore, search information based on 5G information with rich forms needs to be converted into information which can be identified by a machine, and the fastest and simple method is to construct a semantic identification network model based on multimedia and utilize the semantic identification network model to carry out semantic identification.
As shown in fig. 4, the multimedia-based semantic recognition network model includes a format recognition sub-network, a text recognition sub-network, a picture recognition sub-network, a video recognition sub-network, and an audio recognition sub-network; the video recognition subnetwork is followed by a text recognition subnetwork, a picture recognition subnetwork, and an audio recognition subnetwork. Firstly, a format recognition sub-network recognizes the format of search information, and if the format of the search information is text, picture or audio, the search information is directly sent to a corresponding text recognition sub-network, picture recognition sub-network or audio recognition sub-network for recognition; and if the format of the search information is video, sending the search information to a video identification sub-network, carrying out format decomposition on the search information by the video identification sub-network to obtain corresponding texts, pictures and audios, and finally sending the corresponding texts, pictures and audios to the text identification sub-network, the picture identification sub-network and the audio identification sub-network for identification to generate the search keywords.
In this particular embodiment: the S3 specifically includes the steps of generalizing the search keyword in the main server to obtain a generalized keyword; and combining the search keywords and the generalization keywords to obtain the search data.
In the invention, generalizing the search keyword is to find out synonyms, near-synonyms and associated words of the search keyword. For example, assuming that the search keywords are a and B, the synonyms, synonyms and associated words of a are a1, a2, A3 and a4, and the synonyms, synonyms and associated words of B are B1, B2 and B3; the keyword set formed by combining A, A1, A2, A3 and A4, and B, B1, B2 and B3 is the search material.
The invention introduces data mining, can obtain complete search data, avoids missing keywords, and further lays a good foundation for later accurate and comprehensive user search.
In this particular embodiment: specifically, the step S4 is,
taking the main server as a center and taking an auxiliary server in direct communication connection or indirect communication connection with the main server as an edge, constructing an edge-based server cluster, and forming a server topological graph according to the server cluster;
dividing and classifying the search data in the main server to obtain a plurality of sub-search data, and loading all the sub-search data to the server topological graph to enable each sub-search data to be sent to different secondary servers;
searching the received sub-search data in the sub-server receiving the sub-search data to obtain a sub-search result, and feeding back the sub-search result to the main server;
and summarizing all the sub-search results in the main server to obtain the search results.
If the base number of the search users is large and the search processing is carried out by the main server, the data processing pressure of the main server is increased, when a large number of search users access the main server, the main server is likely to cause processing delay or downtime due to overlarge pressure. Fig. 5 illustrates an exemplary server topology.
And after receiving the search data, the main server divides and classifies the search data to obtain a plurality of sub-search data. Still following the above example, the keyword set formed by the combination of A, A1, a2, A3 and A4, and B, B1, B2 and B3 is the search material, the main server classifies the search material, i.e. separates the keywords of different categories, e.g. A, A1, a2, A3 and A4 belong to the same category, B, B1, B2 and B3 belong to the same category, A, A1, a2, A3 and A4 belong to a category different from the categories of B, B1, B2 and B3, so in the main server, A, A1, a2, A3 and A4 are classified from B, B1, B2 and B3, generating a first sub-search material composed of A, A1, a2, A3 and A4, and a second sub-search material composed of B, B1, B2 and B3.
And loading all the sub-search data into the server topological graph, namely dispersing all the sub-search data into different auxiliary servers, wherein the main server reasonably distributes search tasks according to the running conditions of the auxiliary servers, namely distributing the tasks for the auxiliary servers by adopting a load balancing method. Assuming that the processing tasks of the secondary server 1 and the secondary server 8 are heavy and the processing tasks of the secondary server 3 and the secondary server 7 are light, the primary server distributes the first sub-search data to the secondary server 3 and the second sub-search data to the secondary server 7, and the secondary server 3 and the secondary server 7 participate in the search tasks. The auxiliary server 3 searches the first sub-search data to obtain a first sub-search result and feeds the first sub-search result back to the main server, the auxiliary server 7 searches the second sub-search data to obtain a second sub-search result and feeds the second sub-search result back to the main server, and the main server combines, de-duplicates and comprehensively arranges the first sub-search result and the second sub-search result to obtain a final search result and feeds the final search result back to a search user through a 5G communication base station. Here, the main base station feeds back the search result to the search user through the original network route, that is, assuming that the search user is connected to the main server through the 5G communication base station 3, the main server feeds back the search result to the search user through the 5G communication base station 3 when feeding back the search result to the search user.
In the user searching method based on the 5G message, firstly, semantic recognition is carried out on the searching information based on the 5G message, accurate searching data can be obtained, then data mining is carried out, and finally searching is carried out by combining an edge algorithm, so that user searching can be rapidly and comprehensively realized.
Based on the user searching method based on the 5G message, the invention also provides a user searching system based on the 5G message.
As shown in fig. 6, a user search system based on 5G messages includes the following modules,
the receiving module is used for receiving search information which is sent by a search user through a 5G communication base station and is based on a 5G message;
the semantic recognition module is used for carrying out semantic recognition on the search information to generate search keywords;
the data mining module is used for carrying out data mining on the search data to generate search data;
and the searching module is used for searching the searching data by utilizing an marginalized searching method to obtain a searching result.
In this particular embodiment: as shown in fig. 2, the receiving module is specifically configured to receive, through a 5G communication base station closest to a search user, search information submitted by the search user and based on a 5G message; determining a main server corresponding to the 5G communication base station closest to the search user according to the position topological relation of the 5G communication base station closest to the search user in the whole 5G communication network; and controlling the 5G communication base station closest to the searching user to forward the searching information based on the 5G message to the main server.
By receiving the search information based on the 5G message submitted by the search user through the 5G communication base station closest to the search user, the time for the search user to connect to the main server can be shortened, and the speed for establishing the network connection is accelerated. In addition, the main server corresponding to the 5G communication base station closest to the search user is determined according to the position topological relation of the 5G communication base station closest to the search user in the whole 5G communication network, and the main server can be determined quickly and accurately.
Fig. 3 shows an exemplary topology of a 5G communication network, in which a plurality of 5G communication base stations are provided, and all of the 5G communication base stations communicate with a corresponding main server. Assuming that a 5G communication base station closest to a search user is specifically a 5G communication base station 3, and a main server corresponding to the 5G communication base station 3 is a main server 1, in a process of establishing a network connection between the search user and the main server 1, the search user needs to search the main server 1 from a plurality of main servers, determine the main server 1 as a target base station, and establish a network connection with the target base station, but it takes time to search the target main server from the plurality of main servers. In order to save the time of searching a target main server by a searching user, the searching information based on the 5G message is firstly sent to the 5G communication base station 3 which is closest to the searching user, and the sending time can be saved when the distance is closest to the searching user; and because the 5G communication base station 3 has a network topology relation with the main server 1 in the 5G communication network topology map, the 5G communication base station 3 can establish network communication with the main server 1, thereby avoiding the time consumed by searching the target main server directly by the user.
In this particular embodiment: the format of the 5G message is any one format or a combination of multiple formats of text, pictures, video and audio.
In this particular embodiment: the semantic recognition module is specifically used for inputting the search information into a pre-trained multimedia-based semantic recognition network model to generate the search keyword.
The 5G message is the upgrade of the short message service, is a basic telecommunication service of an operator, realizes the leap of service experience based on the I P technology, and has more supported media formats and richer expression forms. Therefore, search information based on 5G information with rich forms needs to be converted into information which can be identified by a machine, and the fastest and simple method is to construct a semantic identification network model based on multimedia and utilize the semantic identification network model to carry out semantic identification.
As shown in fig. 4, the multimedia-based semantic recognition network model includes a format recognition sub-network, a text recognition sub-network, a picture recognition sub-network, a video recognition sub-network, and an audio recognition sub-network; the video recognition subnetwork is followed by a text recognition subnetwork, a picture recognition subnetwork, and an audio recognition subnetwork. Firstly, a format recognition sub-network recognizes the format of search information, and if the format of the search information is text, picture or audio, the search information is directly sent to a corresponding text recognition sub-network, picture recognition sub-network or audio recognition sub-network for recognition; and if the format of the search information is video, sending the search information to a video identification sub-network, carrying out format decomposition on the search information by the video identification sub-network to obtain corresponding texts, pictures and audios, and finally sending the corresponding texts, pictures and audios to the text identification sub-network, the picture identification sub-network and the audio identification sub-network for identification to generate the search keywords.
In this particular embodiment: the data mining module is specifically used for generalizing the search keyword in the main server to obtain a generalized keyword; and combining the search keywords and the generalization keywords to obtain the search data.
In the invention, generalizing the search keyword is to find out synonyms, near-synonyms and associated words of the search keyword. For example, assuming that the search keywords are a and B, the synonyms, synonyms and associated words of a are a1, a2, A3 and a4, and the synonyms, synonyms and associated words of B are B1, B2 and B3; the keyword set formed by combining A, A1, A2, A3 and A4, and B, B1, B2 and B3 is the search material.
The invention introduces data mining, can obtain complete search data, avoids missing keywords, and further lays a good foundation for later accurate and comprehensive user search.
In this particular embodiment: the search module is particularly adapted to,
taking the main server as a center and taking an auxiliary server in direct communication connection or indirect communication connection with the main server as an edge, constructing an edge-based server cluster, and forming a server topological graph according to the server cluster;
dividing and classifying the search data in the main server to obtain a plurality of sub-search data, and loading all the sub-search data to the server topological graph to enable each sub-search data to be sent to different secondary servers;
searching the received sub-search data in the sub-server receiving the sub-search data to obtain a sub-search result, and feeding back the sub-search result to the main server;
and summarizing all the sub-search results in the main server to obtain the search results.
If the base number of the search users is large and the search processing is carried out by the main server, the data processing pressure of the main server is increased, when a large number of search users access the main server, the main server is likely to cause processing delay or downtime due to overlarge pressure. Fig. 5 illustrates an exemplary server topology.
And after receiving the search data, the main server divides and classifies the search data to obtain a plurality of sub-search data. Still following the above example, the keyword set formed by the combination of A, A1, a2, A3 and A4, and B, B1, B2 and B3 is the search material, the main server classifies the search material, i.e. separates the keywords of different categories, e.g. A, A1, a2, A3 and A4 belong to the same category, B, B1, B2 and B3 belong to the same category, A, A1, a2, A3 and A4 belong to a category different from the categories of B, B1, B2 and B3, so in the main server, A, A1, a2, A3 and A4 are classified from B, B1, B2 and B3, generating a first sub-search material composed of A, A1, a2, A3 and A4, and a second sub-search material composed of B, B1, B2 and B3.
And loading all the sub-search data into the server topological graph, namely dispersing all the sub-search data into different auxiliary servers, wherein the main server reasonably distributes search tasks according to the running conditions of the auxiliary servers, namely distributing the tasks for the auxiliary servers by adopting a load balancing method. Assuming that the processing tasks of the secondary server 1 and the secondary server 8 are heavy and the processing tasks of the secondary server 3 and the secondary server 7 are light, the primary server distributes the first sub-search data to the secondary server 3 and the second sub-search data to the secondary server 7, and the secondary server 3 and the secondary server 7 participate in the search tasks. The auxiliary server 3 searches the first sub-search data to obtain a first sub-search result and feeds the first sub-search result back to the main server, the auxiliary server 7 searches the second sub-search data to obtain a second sub-search result and feeds the second sub-search result back to the main server, and the main server combines, de-duplicates and comprehensively arranges the first sub-search result and the second sub-search result to obtain a final search result and feeds the final search result back to a search user through a 5G communication base station. Here, the main base station feeds back the search result to the search user through the original network route, that is, assuming that the search user is connected to the main server through the 5G communication base station 3, the main server feeds back the search result to the search user through the 5G communication base station 3 when feeding back the search result to the search user.
In the user search system based on the 5G message, firstly, semantic recognition is carried out on search information based on the 5G message, accurate search data can be obtained, then, data mining is carried out by combining an edge algorithm to establish a search rule, and user search can be rapidly realized according to the search rule.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A user searching method based on 5G message is characterized in that: comprises the following steps of (a) carrying out,
s1, the main server receives the search information based on the 5G message sent by the search user through the 5G communication base station;
s2, performing semantic recognition on the search information in the main server to generate a search keyword;
s3, data mining is carried out on the search data in the main server to generate search data;
and S4, searching the search material in the secondary server related to the main server by utilizing the marginalized search method to obtain a search result.
2. The user search method based on 5G message according to claim 1, wherein: in S1, the format of the 5G message is any one or a combination of text, picture, video and audio.
3. The user search method based on 5G message according to claim 1, wherein: the step S2 is specifically to input the search information into a pre-trained semantic recognition network model based on multimedia in the main server, and generate the search keyword.
4. The user search method based on 5G message according to claim 1, wherein: the step S3 is specifically to generalize the search keyword in the main server to obtain a generalized keyword; and combining the search keywords and the generalization keywords to obtain the search data.
5. The user search method based on 5G message according to any of claims 1 to 4, characterized in that: specifically, the step S4 is,
taking the main server as a center and taking an auxiliary server in direct communication connection or indirect communication connection with the main server as an edge, constructing an edge-based server cluster, and forming a server topological graph according to the server cluster;
dividing and classifying the search data in the main server to obtain a plurality of sub-search data, and loading all the sub-search data to the server topological graph to enable each sub-search data to be sent to different secondary servers;
searching the received sub-search data in the sub-server receiving the sub-search data to obtain a sub-search result, and feeding back the sub-search result to the main server;
and summarizing all the sub-search results in the main server to obtain the search results.
6. A user search system based on 5G messages, characterized in that: comprises the following modules which are used for realizing the functions of the system,
the receiving module is used for receiving search information which is sent by a search user through a 5G communication base station and is based on a 5G message;
the semantic recognition module is used for carrying out semantic recognition on the search information to generate search keywords;
the data mining module is used for carrying out data mining on the search data to generate search data;
and the searching module is used for searching the searching data by utilizing an marginalized searching method to obtain a searching result.
7. The 5G message-based user search system of claim 6, wherein: the format of the 5G message is any one format or a combination of multiple formats of text, pictures, video and audio.
8. The 5G message-based user search system of claim 6, wherein: the semantic recognition module is specifically configured to input the search information into a pre-trained multimedia-based semantic recognition network model, and generate the search keyword.
9. The 5G message-based user search system of claim 6, wherein: the data mining module is specifically used for generalizing the search keyword to obtain a generalized keyword; and combining the search keywords and the generalization keywords to obtain the search data.
10. A 5G message based user search system according to any of claims 6 to 9, wherein: the search module is particularly adapted to,
taking a main server as a center and taking an auxiliary server which is in direct communication connection or indirect communication connection with the main server as an edge, constructing an edge-based server cluster, and forming a server topological graph according to the server cluster;
dividing and classifying the search data in the main server to obtain a plurality of sub-search data, and loading all the sub-search data to the server topological graph to enable each sub-search data to be sent to different secondary servers;
searching the received sub-search data in the sub-server receiving the sub-search data to obtain a sub-search result, and feeding back the sub-search result to the main server;
and summarizing all the sub-search results in the main server to obtain the search results.
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| CN114125734A (en) * | 2021-11-29 | 2022-03-01 | 杭州天翼智慧城市科技有限公司 | 5G message transmission method and system |
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