KR101638986B1 - Server, method and system for information service with big data classification user-based and recording medium thereof - Google Patents

Abstract

The present invention relates to a system, method, and server for classifying user-based big data and providing information, which enables to effectively manage data required by users and provide the data by analyzing characteristics of the users, collecting big data, and analyzing the collected big data instead of a conventional method of providing information, and to a recording medium having a program for implementing the same. The system for classifying user-based big data and providing information comprises; a characteristic selection unit (10) for receiving a keyword to be searched for from a user device, and selecting characteristics from the keyword; a tracking code generation unit (20) for generating a tracking code with respect to the keyword inputted from the user device characterized in the characteristic selection unit (10); a server (30) for providing the user device with big data (50) information based on the tracking code when the big data (50) classified by a group and characteristic is required for information according to the tracking code generated from the tracking code generation unit (20); and a collected code generation and storage unit (40) for providing information which is provided for a user from the server (30), and transferring collected information to the big data (50).

Description

TECHNICAL FIELD [0001] The present invention relates to a user-based big data classification and information providing system, a method and a server, and a recording medium on which a program for implementing the same is recorded.

The present invention relates to a big data classification system, and more particularly, to a large data classification system that collects data according to characteristics of users and analyzes the collected data to efficiently manage and quickly provide data required by users. A data classification and information providing system, a method and a server, and a recording medium on which a program for implementing the same is recorded.

As the era of big data begins with the development of IT, the technology that can easily see the information needed from the huge data is emerging as the core of the future technology.

However, even in the era of big data age, there is not enough technology to provide customized information in consideration of characteristics of users in the field of information transmission.

Open No. 10-2014-0117217 (a method and apparatus for collecting harmful information using big data analysis) collects a large number of packets in real time, analyzes the collected metadata of the packets, It has a focus on collecting information sites.

In addition, in JP-A-10-2014-0096936 (titled "Big Data Processing System and Method of System"), detailed fields of DLP log data are classified, and an index is requested and stored, .

However, the conventional technology concentrates only on collection and retrieval of information, and it is a method of providing only past information, so that there is a problem that it is not easy to introduce it into a system for classifying classified information and providing classified information.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems of the prior art, and it is an object of the present invention to provide a method and apparatus for analyzing characteristics of users by analyzing characteristics of users, analyzing collected big data, The present invention provides a user-based big data classification and information providing system, method, and server capable of efficiently managing and providing data, and a recording medium on which a program for implementing the same is recorded.

According to another aspect of the present invention, there is provided a user-based big data classification and information providing system, comprising: a feature selecting unit that receives a keyword to be searched from a user device and selects a feature from the keyword; A tracking code generation unit for generating a tracking code for a keyword input from the user device characteristic of the feature selection unit; (30) for providing the big data (50) information on the basis of the tracking code when requesting information according to the tracking code from the tracking code generating unit (20) ; And a collection code generating and storing unit 40 for providing the information provided to the user from the server 30 and transmitting the collected information to the big data 50. [

The tracking code generator 20 includes a searching unit 21, a code storing unit 22 and an information requesting unit 23. The tracking code generating unit 20 searches the searching unit 21 The information requesting unit 23 requests the server 30 to transmit the tracking code according to the generated tracking code.

The collection code generating and storing unit 40 includes an information providing unit 41 for providing information to be provided to the user equipment, a page view storing unit 42 for storing the number of page views of the users for the provided information, A user evaluation storage unit 43 for storing an evaluation including users' satisfaction with the provided information, and a collection information transfer unit 44 for transferring the collected information to the big data 50.

In addition, the big data 50 classified by the group and the characteristic includes a sex, an age, and a search filter, and the evaluation of the user is made by the user tracking code + user evaluation code in the big data 50 storage space And the data is divided into groups and stored.

According to another aspect of the present invention, there is provided a user-based big data classification and information providing server,

According to another aspect of the present invention, there is provided a user-based big data classification and information providing server for storing big data for each group, which is searched according to a tracking code preset for a keyword, A big data server 140 in which an evaluation is stored; And the information to be searched from the user device 100 through the Internet 110 to collect and provide information and to store information stored in the big data server 140 in accordance with the tracking code And a big data classification and provision server 130 that classifies and provides the classified data by groups and characteristics.

Here, the tracking code is a code previously assigned to each feature including an age, a sex, and a search filter with respect to the keyword.

In order to accomplish the above object, the user-based big data classification and information providing server of the present invention is connected to the user device 100 and the network 120 through the Internet 110 and is connected to the user device 100, the network 120, A communication unit 131 for communicating with the big data server 140 and communicating with the big data server 140; A code storage unit 132 for storing feature information on keywords classified by group and feature, and storing a tracking code assigned according to stored feature information; A tracking code generator 133 for generating a tracking code searched by the code storage unit 132 according to the feature information on the information transmitted from the user equipment 100; According to the tracking code generated by the tracking code generation unit 133, the information to be searched by the user is connected to the network 120 through the communication unit 131 or is searched through the big data server 140 A portion 134; A search information transmitting and receiving unit 135 and a communication unit 131 for transmitting and receiving the searched information from the searching unit 134 to the user device 100 and transmitting the information to the big data server 140 by group and by feature, And a control unit 136 for controlling the storage unit 132, the tracking code generating unit 133, the searching unit 134, and the searching information transmitting and receiving unit 135.

Here, the big data server 140 includes a communication unit 141 for communicating with the big data classification and providing server 130, a page view storage unit 142 for storing the number of times of viewing of the big data page viewed in the user device 100 A user evaluation storage unit 143 for storing a user evaluation of the big data evaluated by the user in the user device 100 and a search information transmitting and receiving unit 135 of the big data classification and providing server 130, A big data storage 145 for storing the information transmitted from the big data classifying and providing server 130 according to each group and a characteristic and the big data storage 145 for collecting information requested by the big data classifying and providing server 130, A page view storage unit 142, a user evaluation storage unit 143, a collected information transmission request unit 144, and a big data storage unit 144, And a control unit (146) for controlling the control unit (145) It shall be.

According to another aspect of the present invention, there is provided a user-based big data classification and information providing method, comprising: storing a keyword-specific tracking code in a code storage unit of a big data classification and providing server; A feature is selected from the keyword input from the user equipment 100 in operation S110 and a trace code is generated in the trace code generator 133 of the big data classification and providing server 130 according to the selected feature S120 ); In operation S 130, the searching unit 134 of the big data classification and providing server 130 searches for information in the network 120 and the big data server 140 according to the generated tracking code. The search information transmitting and receiving unit 135 of the big data classification and providing server 130 transmits search information to the user device 100 and transmits the search information to the big data server 140 and the big data server 140 Storing the information (S140); The big data server 140 manages the information transmitted from the big data storage unit 145 by group and by characteristic (S150); The big data server 140 stores the page view of the big data stored in the big data storage unit 145 in the page view storage unit 142 and the user evaluation storage unit 143 for user recommendation and evaluation (S160); And the big data storage unit 145 may update the big data information for each group and the big data for each feature (S170).

According to another aspect of the present invention, there is provided a recording medium on which a program for implementing a user-based big data classification and information providing method is recorded, (S100) of selecting a keyword from the keyword inputted from the user device 100 (S110), and storing the selected feature in the keyword input from the user device 100 And the search unit 134 of the big data classification and providing server 130 according to the generated tracking code generates the tracking code in the network 120 and the big data server 140 The search information transmitting and receiving unit 135 of the big data classification and providing server 130 transmits search information to the user device 100 and transmits the search information to the big data server 140 The above- The big server 140 stores the corresponding information in step S140 and the big data server 140 manages the information on the basis of the group and the characteristic in the big data storage unit 145 The big data server 140 stores the page view of the big data stored in the big data storage unit 145 in the page view storage unit 142. For the user recommendation and evaluation, (S160) of storing the big data in the storage unit 143 and the big data storage unit 145 (S170) of updating the big data information for each group and the big data for each characteristic.

The present invention has the following effects.

First, personal information and characteristics inputted from a user terminal are collected, and data reliability is reflected according to user-specific evaluation, thereby providing user's desired information as more reliable information over time.

Second, data that is accumulated in vast amounts of information quantity, cycle, and format is not a method of providing only past information in information transmission method, but future technology that analyzes user characteristics and analyzes big data to provide necessary information is a lot of data Can be efficiently managed and used.

Third, by recording the feature information of the user from the process of collecting big data to the data, it is possible to manage a large amount of data by group, to manage each feature, and to increase the stability and convenience. On the user side, By acquiring information, it is possible to save time and obtain quick and accurate information in the era of big data.

Fourth, on the administrator side, it is possible to save huge time and money by automatically classifying the time spent and costly data analysis according to the user's usage, managing the big data safely, securing permanent storage through partial backup It has the effect of maximizing the advantage of big data.

Fifth, the user can obtain information desired by the user in a short period of time, which saves enormous time required for searching for big data information.

Sixth, there is an effect that can be utilized in various fields when not only the method of providing information but also the measurement and the collected information are linked by a filter (condition) code rather than a user.

FIG. 1 is a diagram illustrating a system for explaining a user-based big data classification and information providing method according to the first embodiment of the present invention.
FIG. 2 is a view for explaining an example of a user use aspect of the system for explaining the user-based big data classification and information providing method shown in FIG. 1. FIG.
FIG. 3 is a diagram for explaining an example of a big data classification of a system for explaining a user-based big data classification and information providing method shown in FIG. 1. FIG.
4 is a diagram illustrating a system for implementing a user-based big data classification and information providing method according to a second embodiment of the present invention.
5 is a view for explaining a big data classification server in a system for implementing the big data classification and information providing method shown in FIG.
6 is a diagram for explaining a big data server in a system for implementing the big data classification and information providing method shown in FIG.
FIG. 7 is a flowchart illustrating a user-based big data classification and information providing method according to the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

In addition, although the term used in the present invention is selected as a general term that is widely used at present, there are some terms selected arbitrarily by the applicant in a specific case. In this case, since the meaning is described in detail in the description of the relevant invention, It is to be understood that the present invention should be grasped as a meaning of a term that is not a name of the present invention. Further, in describing the embodiments, descriptions of technical contents which are well known in the technical field to which the present invention belongs and which are not directly related to the present invention will be omitted. This is for the sake of clarity of the present invention without omitting the unnecessary explanation.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings.

FIG. 1 is a diagram illustrating a system for explaining a user-based big data classification and information providing method according to a first embodiment of the present invention. FIG. 2 is a block diagram illustrating a user- FIG. 3 is a view for explaining a big data classification example of a system for explaining a user-based big data classification and information providing method shown in FIG. 1; FIG.

As shown in FIG. 1, a system for explaining user-based big data classification and information providing method according to the first embodiment of the present invention includes a feature selection unit A tracking code generator 20, a server 30, and a collection code generator /

Here, the feature selecting unit 10 is a place where a user inputs a keyword, and selects a feature from a keyword to be searched by the user. Such features may include gender, age, search filter, and the like. Here, the user is a device (PC, smart device (smart phone, smart pad)) used by the user.

The tracking code generation unit 20 generates a tracking code for the keyword input from the user, which is characteristic of the feature selection unit 10. The tracking code generating unit 20 includes a searching unit 21, a code storing unit 22 and an information requesting unit 23. The tracking code generating unit 20 searches the searching unit 21 for a characteristic selected by the characteristic selecting unit 10, When the storage unit 22 is searched to generate a tracking code, the information request unit 23 requests data from the server 30 according to the generated tracking code.

The server 30 provides the big data classified according to the characteristics of each group from the tracking code generation unit 20 to the big data 50 based on the tracking code when requesting the information according to the tracking code.

The collected code generating and storing unit 40 includes an information providing unit 41 for providing information provided to the user from the server 30, a page view storing unit 42 for storing the number of page views of the users for the provided information, A user evaluation storage unit 43 for storing an evaluation of users' satisfaction with the provided information, and a collection information transfer unit 44 for transferring the collected information to the big data 50.

Big data 50 stores data by group and / or characteristic.

In the first embodiment of the present invention, when a user inputs one or more features (sex, age, search filter, etc.) through the user equipment, a tracking code including characteristics of the user is generated in the tracking code generator 20, (30). ≪ / RTI > The server 30 which received the request provides the tracking code based information and the user can evaluate the data by evaluating the information received by clicking on it, the accuracy of the information, and the like.

The user's evaluation is generated as a collection code, and the user's tracking code + user evaluation code is combined in the storage space of the big data 50 to divide the data into groups. The divided data is transmitted to the server 30 with highly reliable information And the like.

In the present invention, when a user inputs one or more keywords and searches for and uses data through the server 30, a code of a keyword automatically input by the user is given to the information exposed, and data Is reflected. Therefore, as the number of users increases, the reliability of each data and the code of the user who uses it are accumulated, and the information is gradually and rapidly transmitted to the user.

The present invention can save tremendous time and cost by automatically classifying the time spent and costly data analysis according to the user's use on the administrator side, managing the big data 50 safely, Thereby maximizing the advantages of permanent archiving and big data 50.

On the user side, it is possible to obtain the information that the user desires in a short time, thereby saving a great amount of time required for searching for the big data 50.

In addition, the present invention is not limited to a method of simply providing information, and can be utilized in various fields when the measured and collected information is linked with a filter (condition) code rather than a user.

An example of a user use aspect of the system for explaining such a user-based big data classification and information providing method is shown in FIG. 2, wherein a user selects a characteristic such as sex, taste, and preference, The server retrieves the grouped data from the big data based on the past user's evaluation + new tracking code and provides the information. Through this process, the user can preferentially collect the travel information according to his or her tendency and save time in preparing the travel accordingly.

4 is a diagram for explaining a system for implementing a user-based big data classification and information providing method according to the present invention.

4, a system for implementing a user-based big data classification and information providing method according to the present invention includes a user device 100, an Internet 110, a network 120, a big data classification and provision server 130 And a big data server 140.

Here, the user device 100 is a smart phone 101 such as a smart phone or a smart pad, a tablet PC 102 such as a smart pad or a notebook computer, and a general PC 103.

The network 120 is a network connected to the Internet 110 and capable of collecting information to be searched by the user equipment 110.

The Big Data Classification and Providing Server 130 searches for Big Data according to the tracking code, and classifies and provides the Big Data according to each group and characteristic.

The big data server 140 stores big data for each group and each feature searched according to the tracking code, and stores a page view or user evaluation of the stored big data.

Here, the big data classification and provision server 130 and the big data server 140 are user-based big data classification and information providing server 150.

5 is a view for explaining a big data classification server in a system for implementing the big data classification and information providing method shown in FIG.

5, the big data classification and information providing server in the system for implementing the big data classification and information providing method according to the present invention includes a communication unit 131, a code storage unit 132, a tracking code generation unit 133, a search unit 134, a search information transmission and reception unit 135, and a control unit 136.

The communication unit 131 is connected to the user device 100 and the network 120 through the Internet 110 and communicates with the user device 100 and the network 120 and communicates with the big data server 140. [

The code storage unit 132 stores feature information on information to be searched by the user, according to a keyword, and stores a tracking code assigned according to the stored feature information.

When the information to be searched by the user is transmitted from the user equipment 100, the tracking code generation unit 133 generates the tracking code searched in the code storage unit 132 according to the feature information on the information.

The searching unit 134 searches for information to be searched by the user according to the tracking code generated by the tracking code generating unit 133. [ At this time, the user can access the network 120 through the communication unit 131 and search or search through the big data server 140.

The search information transmitting and receiving unit 135 transmits and receives information retrieved from the searching unit 134 and transmits the information to the user device 100 and transmits the information to the big data server 140 by group and by feature.

The control unit 136 controls the communication unit 131, the code storage unit 132, the tracking code generation unit 133, the search unit 134, and the search information transmission / reception unit 135.

6 is a diagram for explaining a big data server in a system for implementing the big data classification and information providing method shown in FIG.

6, the big data server in the system for implementing the big data classification and information providing method according to the present invention includes a communication unit 141, a page view storage unit 142, a user evaluation storage unit 143, A collection information transmission request unit 144, a big data storage unit 145 and a control unit 146. [

The communication unit 141 communicates with the big data classification and provision server 130.

The page view storage unit 142 stores the number of times of viewing of the big data page viewed in the user device 100. [

The user evaluation storage unit 143 stores the user evaluation of the big data evaluated by the user in the user equipment 100. [

The collection information transmitting unit 144 collects the information requested by the big data classification and providing server 130 in the big data storing unit 145 and transmits the collected information to the big data classification and providing server 130.

The big data storage unit 145 stores the information transmitted from the search information transmitting and receiving unit 135 of the big data classification and providing server 130 by group and by characteristic.

The control unit 146 controls the communication unit 141, the page view storage unit 142, the user evaluation storage unit 143, the collected information transmission request unit 144 and the big data storage unit 145.

FIG. 7 is a flowchart illustrating a user-based big data classification and information providing method according to the present invention.

In the user-based big data classification and information providing method according to the present invention, as shown in FIG. 7, the keyword-specific tracking code is stored in the code storage unit 132 of the big data classification and providing server 130 (S100). Here, the keyword-specific tracking code can be set for each group and for each characteristic according to the keyword. For example, if the keyword is travel, it is classified as sex (male: 1. female: 2), taste (backpack tour: 1, package: 2, .

Next, the feature is selected from the keyword input from the user device 100 (S110), and the trace code generating unit 133 of the big data classification and providing server 130 generates the trace code according to the selected feature (S120) .

The searching unit 134 of the big data classification and providing server 130 searches information in the network 120 and the big data server 140 according to the generated tracking code at step S130. At this time, if the keyword is traveling and male, the preference is a backpacking trip, and the preference is food, the information is retrieved with a tracking code of '1 1 1'.

The search information transmitting and receiving unit 135 of the big data classification and providing server 130 transmits the search information to the user device 100 and transmits the search information to the big data server 140, Information is stored (S140).

The big data server 140 manages the transmitted information on a group-by-group basis and a feature-by-feature basis in the big data storage unit 145 (S150).

Meanwhile, the big data server 140 stores the page view of the big data stored in the big data storage unit 145 in the page view storage unit 142, stores the page view in the user evaluation storage unit 143 for user recommendation and evaluation (S160).

Accordingly, the big data storage unit 145 updates the big data information for each group and the big data for each characteristic (S170).

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it should be understood that various changes and modifications will be apparent to those skilled in the art. It is to be understood that the present invention is not limited to the above-described embodiments. Accordingly, the scope of protection of the present invention should be construed according to the following claims, and all technical ideas which fall within the scope of equivalence by alteration, substitution, substitution, Range. In addition, it should be clarified that some configurations of the drawings are intended to explain the configuration more clearly and are provided in an exaggerated or reduced size than the actual configuration.

10: Feature selection unit 20: Trace code generation unit
30: server 40: collection code generation and storage unit
41: information providing unit 42: page view storing unit
43: user evaluation storage unit 44: collection information delivery unit
100: user equipment 110: internet
120: Network 130: Big data classification and provision server
131: communication unit 132: code storage unit
133: tracking code generation unit 134:
135: Search information transmitting and receiving unit 136:
140: Big data server 141:
142: a page view storage unit 143: a user evaluation storage unit
144: Collection information transmission request unit 145: Big data storage unit
146:
150: User-based big data classification and information providing server

Claims (10)

A feature selecting unit 10 for receiving a keyword to be searched from a user device and selecting a feature from the keyword;
A tracking code generation unit (20) for generating a tracking code for a keyword input from the user equipment characterized by the feature selection unit (10);
(50) information on the basis of the tracking code when requesting information according to the tracking code from the tracking code generation unit (20) to the user device (30); And
An information providing unit 41 for providing information provided to the user from the server 30 and transferring the collected information from the user to the big data 50, A page view storage unit 42 for storing the number of page views of the users with respect to the provided information, a user evaluation storage unit 43 for storing an evaluation including users' satisfaction with the provided information, The user's evaluation includes a user's tracking code + user evaluation code in a storage space, and transmits the collected data to the big data (50) And a collection code generating and storing unit (40) configured to store the collected data in a storage unit (44). The method according to claim 1,
The tracking code generating unit 20 includes a searching unit 21, a code storing unit 22 and an information requesting unit 23 for searching for features selected by the feature selecting unit 10 from the searching unit 21 Wherein the information requesting unit (23) requests data to the server (30) according to the generated tracking code when searching the code storage unit (22) to generate a tracking code, Information providing system. delete delete delete delete A big data server 140 in which big data for each group is searched for according to a tracking code set in advance according to a predetermined tracking code for a feature including the age, sex, and search filter, and a page view or user evaluation of stored big data is stored, ;
The information to be searched from the user device 100 is connected to the network 120 via the Internet 110 to collect and provide information and the information stored in the big data server 140 is searched according to the tracking code A big data classification and information providing server 130 that classifies and provides information according to groups and characteristics;
A communication unit 131 connected to the user device 100 and the network 120 via the Internet 110 to communicate with the user device 100 and the network 120 and communicate with the big data server 140;
A code storage unit 132 for storing feature information on keywords classified by group and feature, and storing a tracking code assigned according to stored feature information;
A tracking code generator 133 for generating a tracking code searched by the code storage unit 132 according to the feature information on the information transmitted from the user equipment 100;
According to the tracking code generated by the tracking code generation unit 133, the information to be searched by the user is connected to the network 120 through the communication unit 131 or is searched through the big data server 140 A portion 134;
A search information transmitting and receiving unit 135 transmitting and receiving the information retrieved from the retrieving unit 134, transmitting the retrieved information to the user device 100, and transmitting the retrieved information to the big data server 140 by group and by feature,
And a control unit 136 for controlling the communication unit 131, the code storage unit 132, the tracking code generating unit 133, the searching unit 134 and the searching information transmitting and receiving unit 135. [ Based Big Data Classification and Information Providing Server. 8. The method of claim 7,
The Big Data Server 140
A communication unit 141 for communicating with the big data classification and providing server 130,
A page view storage unit 142 for storing the number of times of viewing of the big data page viewed in the user equipment 100,
A user evaluation storage unit 143 for storing a user evaluation of the big data evaluated by the user in the user equipment 100,
A big data storage 145 for storing information transmitted from the search information transmitting and receiving unit 135 of the big data classification and providing server 130 by group and by feature,
A collection information transmitting unit 144 for collecting the information requested by the big data classification and providing server 130 in the big data storing unit 145 and transmitting the collected information to the big data classification and providing server 130,
And a control unit 146 for controlling the communication unit 141, the page view storage unit 142, the user evaluation storage unit 143, the collected information transmission request unit 144 and the big data storage unit 145 User-based Big Data Classification and Information Providing Server.
Storing the keyword-specific tracking code in the code storage unit 132 of the big data classification and providing server 130 (S100);
A step S120 of selecting a characteristic from a keyword input from the user device 100 and generating a tracking code in the tracking code generating unit 133 of the big data classification and providing server 130 according to the selected characteristic, ;
In operation S 130, the searching unit 134 of the big data classification and providing server 130 searches for information in the network 120 and the big data server 140 according to the generated tracking code.
The search information transmitting and receiving unit 135 of the big data classification and providing server 130 transmits search information to the user device 100 and transmits the search information to the big data server 140 and the big data server 140 Storing the information (S140);
The big data server 140 manages the information transmitted from the big data storage unit 145 by group and by characteristic (S150);
The big data server 140 stores the page view of the big data stored in the big data storage unit 145 in the page view storage unit 142 and the user evaluation storage unit 143 for user recommendation and evaluation (S160); And
The method of claim 1, wherein the big data storage unit (145) includes a step (S170) of updating big data information for big data for each group and each feature.
(S100) of storing the keyword-specific tracking code in the code storage unit 132 of the big data classification and providing server 130, selecting a feature from the keyword input from the user device 100 (S110) (Step S120) of generating a tracking code in the tracking code generating unit 133 of the big data classification and providing server 130 according to the characteristics of the large data classification and providing server 130, The search information transmitting and receiving unit 135 of the big data classification and providing server 130 searches the information in the network 120 and the big data server 140 in step S130, The Big Data Server 140 transmits the information to the Big Data Server 140 while the Big Data Server 140 transmits the information to the user device 100, In the big data storage unit 145, (Step S150), and the big data server 140 stores the page view of the big data stored in the big data storage unit 145 in the page view storage unit 142, (S160) of storing the evaluation in the user evaluation storage unit 143 and the big data storage unit 145 (S170) of updating the big data information for each group and the big data for each feature Based on the user-based big data classification and information providing method.

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