KR20140145999A - Equipment and method for providing user's specific big data information in cloud computing environments - Google Patents

Abstract

An apparatus and method for providing big data information based on user real-time behavior are disclosed. The apparatus for providing big data information according to an exemplary embodiment includes a user behavior information collecting unit for collecting user real-time behavior information obtained based on a packet transmitted and received in real time by a user terminal using an Internet service, A real-time user information acquiring unit for acquiring real-time user information, an external environment information collecting unit for collecting external environment information that is external information of the user, A big data extractor for extracting big data, and a real-time analyzer for analyzing cumulative big data accumulated in the real-time user big data extracted by the big data extractor to generate user real-time characteristic information related to the user.

Description

Technical Field [0001] The present invention relates to an apparatus and method for providing user big data information in a cloud computing environment,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a large data utilization system, and more particularly, to an apparatus and method for providing user big data information in a cloud computing environment.

Cloud computing allows operators, as well as users, to share a variety of IT resources, such as networks, servers, and storage. These cloud computing include elements that support various services. For example, cloud computing can be classified as software for a service (SaaS), infrastructure for a service (IaaS), platform for a service (PaaS) (Device as a Service, DaaS).

Users using cloud computing can use as much computing resources as needed from the Haiti resources shared on the server side of the cloud service provider anytime and anywhere through the Internet (online). Therefore, for cloud computing, it is assumed that the user device can smoothly access the server of the cloud service provider through the Internet. And all of the requests of the user using the cloud service and the responses of the service providers thereto can be made through data exchange, i.e., packet exchange, between the user device and the service provider via the Internet.

Meanwhile, in recent years, research and development of big data are actively proceeding. The term big data is a large amount of data accumulated during a predetermined period, and is mainly applied to a data set having a level that can not be handled by ordinary software or a computing system. Although not specified with respect to the size of the big data, it is usually more than terabytes, and may have a range of exabytes or zeta bytes. There are various kinds of big data, and various types of big data may exist depending on the type and characteristics of the data, relevance, classification criteria, and the like.

Big Data can be used as an Internet paradigm for collecting and analyzing data in the Internet environment and finding new value. In other words, research on big data is ultimately related to the technology of collecting, managing, storing, searching, sharing, analyzing and using large amounts of data. For example, Korean Patent Laid-Open Publication No. 2013-0077761, entitled " Data Processing Method, Data Processing Apparatus, Data Acquisition Method, and Information Providing Method ", discloses a technique for processing big data related to a user's interest. Korean Patent Publication No. 2009-0019462, entitled " Mobile data analysis apparatus and method using data mining technique ", discloses various mobile data such as a message, a call, voice data, personal data, , Internet data, and the like to analyze what kind of work or action has been performed by each mobile device. Korean Patent Publication No. 2014-0005474 entitled " Application Providing Apparatus and Method for Big Data Processing "collects and analyzes big data including fixed data and unstructured data, and provides a personalized online A technique for providing a service is disclosed.

These prior arts only disclose a technology for collecting, managing, storing, searching, sharing, analyzing big data individually or online, or providing personalized service using analyzed big data.

1. Korean Patent Publication No. 2013-0077761, "Data Processing Method, Data Processing Device, Data Collection Method, and Information Providing Method" 2. Korean Patent Publication No. 2009-0019462, " Mobile Data Analysis Device Using Data Mining Technique & 3. Korean Patent Laid-Open Publication No. 2014-0005474, "Application Providing Device and Method for Big Data Processing"

One problem to be solved by the present invention is to provide a user big data information providing apparatus and method for providing a customized service to a user in a situation where a cloud service is common and various internet services are indispensable.

Another problem to be solved by the present invention is to provide a method and apparatus for collecting user-related information for accessing an Internet service as well as various information of a user using an online network, And to provide a data information providing apparatus and method.

According to an embodiment of the present invention, there is provided an apparatus for providing big data information based on a user real-time action, the apparatus comprising: a user data acquisition unit for collecting user real-time behavior information obtained based on packets transmitted and received in real- A user additional information collecting unit for collecting user related information including personal information, an external environment information collecting unit for collecting external environment information that is external information of the user, the collected user real time behavior information, A big data extractor that extracts real-time user big data using the user-related information and the external environment information, and a user who is related to the user by analyzing cumulative big data accumulated in the real-time user big data extracted by the big data extractor, Generate real-time property information It includes a real-time analyzer.

According to an aspect of the embodiment, the big data information providing apparatus may further include a distributed storage for storing the accumulated big data in a distributed environment, and the real time analyzer may analyze cumulative big data stored in the distributed storage . In this case, the distributed storage may include a user log management unit for managing the past behavior information of the user. The distributed storage further stores user real-time property information generated by the real-time analyzer, and the real-time analyzer further uses user past real-time property information stored in the distributed storage to generate user real- .

According to another aspect of the present invention, in the big data information providing apparatus, the user real-time behavior information includes at least one of access web page information related to a web page accessed by a user, use service information related to a service used by a user in the accessed web page, And may include one or more pieces of information from the application information used by the user.

According to another aspect of the present invention, at least one of the network operator and the manager of the big data information providing apparatus analyzes packet transmitted and received in order to obtain the user real-time behavior information in the big data information providing apparatus . In this case, the user behavior information collecting unit may include a packet analyzer for analyzing a packet transmitted and received by the user terminal in real time, a user data extractor for extracting user data using the analysis result of the packet analyzer, And a user action extractor for extracting the user real-time action information from the user data. And the user terminal includes a behavior collection enabler for allowing the user to select whether to permit real-time analysis of packets transmitted and received by the user terminal, and the user behavior information collector includes on / And a behavior collection authority manager for managing information on whether the collection of real-time behavior information for the user terminal is permitted based on the indication.

According to another aspect of the present invention, in the big data information providing apparatus, when there is a request for big data information for a specific user from a big data system user, the real-time analyzer transmits the user real- And transmit it to the big data system user. In this case, the user of the big data system may include a user preference manager for managing the user's preference using the received user real-time property information.

According to another aspect of the present invention, there is provided a method of providing big data information based on a real-time behavior of a user using an Internet service, the method comprising: transmitting, by a user terminal using the Internet service, Collecting user-related information including personal information, collecting external environment information that is external information of the user, collecting the user real-time behavior information, And extracting real-time user big data using the external environment information and analyzing cumulative big data accumulated in the extracted real-time user big data to generate user real-time characteristic information related to the user .

According to an embodiment of the present invention, it is possible to provide a user-tailored Internet service by utilizing external environment information, user addition information, and past accumulated user big data as well as real-time behavior information of a user using the Internet service.

1 is a diagram showing a schematic configuration of a service system based on a cloud computing environment including a user big data information providing apparatus according to an embodiment of the present invention.
2 is a block diagram illustrating a schematic configuration of a user terminal in the service system of FIG.
3 is a block diagram showing a schematic configuration of a network operator in the service system of FIG.
4 is a flowchart showing an example of a process of obtaining a user's permission regarding collection of user real-time behavior information.
FIG. 5A is a configuration diagram illustrating a schematic configuration of a user Big Data Information Providing apparatus according to an embodiment of the present invention in the service system shown in FIG. 1. FIG.
FIG. 5B is a configuration diagram showing a schematic configuration of a user Big Data information providing apparatus according to another embodiment of the present invention in the service system shown in FIG. 1. FIG.
FIG. 6 schematically shows a configuration of a big data user 400 for using user real-time characteristic information generated by the big data information providing apparatus of FIG.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. The terms used are terms selected in consideration of the functions in the embodiments, and the meaning of the terms may vary depending on the user, the intention or custom of the operator, and the like. Therefore, the meaning of the terms used in the following embodiments is defined according to the definition when specifically defined in this specification, and unless otherwise defined, it should be interpreted in a sense generally recognized by those skilled in the art.

1 is a diagram showing a schematic configuration of a service system based on a cloud computing environment including a user big data information providing apparatus according to an embodiment of the present invention. 1, a service system includes a user terminal 100, a network operator or an Internet service provider (ISP) 200, user big data 300 (hereinafter, referred to as' ), And a big data user (400). A plurality of Internet services 10 may be provided through the network operator 200 and the big data information providing apparatus 300 may collect external environment information 20 that is information outside the user's behavior.

More specifically, in the service system shown in FIG. 1, the user terminal 100 uses one or more Internet services 10 through the network of the network provider 200. Where the user terminal 100 may utilize the Internet service 10 to provide cloud computing and / or other Internet services 10 via cloud computing. In this environment, the big data information providing apparatus 300 may collect user real-time behavior information through the network operator 200 and / or himself / herself. The network operator 200 and / The big data information providing apparatus 300 may analyze packets transmitted and received by the user terminal 100 using the Internet service in real time. The Big Data Information Providing Apparatus 300 collects user related information including personal information through the user terminal 100 and also collects external environment information 20 that is external information of the user DB) and / or may communicate with other external servers or service systems to collect the external environment information 20. Hereinafter, the specific configuration and functions of each component included in the service system of FIG. 1 will be described in detail.

2 is a block diagram illustrating a schematic configuration of a user terminal 100 in the service system of FIG. The user terminal 100 is a device on the user side using the Internet service 10, and receives input from the user and also takes charge of output to the user. The user terminal 100 may store unique information of the user terminal 100 as well as user-specific information.

Referring to FIG. 2, the user terminal 100 includes a terminal agent 110, and the terminal agent 110 includes a behavior collection enabler 112. As described above, the user terminal 100 can use one or more Internet services 10 over the network provided by the network operator 200 (see FIG. 1). When the user terminal 100 uses the Internet service 10, the user terminal 100, more specifically, the terminal agent 110 transmits and receives packets through the network provided by the network provider 200, So that user real-time behavior information can be collected. According to the present embodiment, the collection of the user real-time behavior information through the real-time packet analysis is performed by the network operator 200, and the collected information is transmitted to the big data information providing apparatus 300 and / Device 300 may perform real-time packet analysis to collect user real-time behavior information.

According to the present embodiment, the user real-time behavior information may include the following information, which is merely exemplary.

- information about which websites and / or which web pages of this website are accessed

- Information about services that users mainly use

- Application information that the user mainly uses

The terminal agent 110 for collecting user real-time behavior information may be installed in the user terminal 100. The terminal agent 110 is an application and / or a function provided by the network operator 200 and / or the big data information providing apparatus 300, and may be implemented in hardware or software. The terminal agent 110 may be configured to perform functions necessary for the network operator 200 and / or the big data information providing apparatus 300 to collect user real-time behavior information, such as all or preferably all of the transmitted and received packets, It may be possible to collect some of the relevant packets and, if necessary, to analyze them.

The terminal agent 110 may include a behavior collection enabler 112 so that user real-time behavior information can be collected based on packets transmitted and received. That is, the action collection enabler 112 may be a function in the terminal agent 110 installed for collecting user real-time behavior information. For example, the action collection enabler 112 may provide an ON (off) toggle function to allow collection of user real-time behavior information (or packets to be transmitted and received, etc.) . If the action collection enabler 112 is in an ON state, the user terminal 100 may include information related to the service used by the user terminal 100, as well as information related to the application used in the user terminal 100, All information related to the current behavior of the network operator 200 and / or the big data information providing apparatus 300 can be collected. On the other hand, if the behavior collection enabler 112 is in an OFF state, collection of all information related to the user's current activity by the user terminal 100 is not allowed. The current state of this action collection enabler 112 (e.g., whether it is on state or off state) may be arbitrarily set by the user, and the state set in this case may be temporary or permanent.

3 is a block diagram showing a schematic configuration of a network provider 200 in the service system of FIG. Network provider 200 may be an Internet Service Provider (ISP) that provides a means of accessing the Internet. According to an aspect of the present embodiment, the network operator 200 analyzes packets transmitted and received by the user terminal 100 in addition to basic functions as an Internet service provider, collects user real-time behavior information, To the data information providing apparatus 300. However, according to another aspect of the present embodiment, the network provider 200 provides only the basic functions as an Internet service provider, and the function of collecting user real-time behavior information may be performed by a big data information providing apparatus 300 have. The latter embodiment, that is, the big data information providing apparatus 300 is configured to perform the user real-time behavior information collecting process according to the embodiment of the present invention, The same can be applied to the case of performing the function of collecting information.

FIG. 3 schematically shows a configuration of a network provider 300 for collecting user real-time behavior information. 3, the network provider 300 includes a behavior collecting authority manager 210, a packet analyzer 220, a subscriber data extractor 230, and a user behavior extractor Subscriber Behavior Extractor, 240). The network provider 300 transmits a packet transmitted and received by the user terminal 100 when the action collection enabler 112 included in the terminal agent 110 of the user terminal 100 is on And can extract the behavior information of the user. The network operator 200 may install the terminal agent 110 for collecting the action information in the user terminal 100 under the permission of the user.

The action collection authority manager 210 determines whether the network operator 200 is authorized to analyze the behavior of the user and controls the analysis of the user behavior only when the network operator 200 is authorized. To this end, the action collection authority manager 210 may check whether the state of the action collection enabler 112 of the terminal agent 110 is on or off. If it is determined that the action collection enabler 112 is on, the action collection authority manager 210 may request or instruct the packet analyzer 220 to analyze the packet to be transmitted and received. On the other hand, if it is determined that the behavior collection enabler 112 is in the off state, the behavior collection authority manager 210 requests or instructs the packet analyzer 220 to suspend packet analysis. The action collection authority manager 210 may record the change of the user's settings related to the time when the action collection enabler 112 is turned on / off, and the like.

The packet analyzer 220 monitors and analyzes data packets generated at the user terminal 100 at the request of the action collection authority manager 210. Here, the data packet generated in the user terminal 100 refers to a data packet transmitted / received by the user terminal 100 while using the Internet service 100 through the network operator 200. The packet analyzer 220 analyzes the transmission / reception packet and performs a function of selecting only packets including data related to user real-time behavior information. However, in the present embodiment, there is no particular limitation on a specific algorithm or analysis method for analyzing a packet by the packet analyzer 220.

The user data extractor 230 extracts user data from the analyzed or selected data packet through the packet analyzer 220. The user data extractor 230 extracts all the user data included in the selected packet or extracts user data (i.e., information related to user real-time behavior information) necessary for the big data information providing apparatus 300 based on a predetermined criterion, Can be selected and extracted.

The user action extractor 240 extracts a user action using the user data extracted by the user data extractor 230. That is, the user action extractor 240 may generate information indicating the user action performed through the packet, i.e., user real-time behavior information from the extracted user data. This user real-time behavior information is related to the behavior of the user using the Internet service 10 (see FIG. 1), and there is no particular limitation on the kind. For example, the user real-time behavior information includes all of the connected web page information related to the web page to which the user accesses, the utilization service information related to the service used by the user in the accessed web page, and the used application information related to the application used by the user Or portions thereof.

In order to generate the user real-time behavior information from the packets transmitted and received by the network provider 200, it is necessary to obtain the permission of the user to extract the behavior information through the user terminal 100. [ That is, the network operator 200 needs to obtain a permission from the user to perform collection and analysis of transmission / reception packets for communicating with the user terminal 100 in accordance with a predetermined communication protocol to generate user real-time behavior information. FIG. 4 is a flowchart showing an example of a process of obtaining the user's permission regarding the collection of the user's real-time behavior information.

Referring to FIG. 4, when the user starts using the user terminal 100 as needed, the terminal agent 110 transmits information on the terminal usage start to the network operator 200 (S31). For example, when the start of the user terminal 100 is detected, the terminal agent 110 determines whether the action collection enabler 112 (see FIG. 2) is on or off. In step S31, To the network operator (200). According to an embodiment, the terminal agent 110 may notify the network operator 200 of the fact only when it is determined that the action collection enabler 112 is in an off state. This is because, if the action collection enabler 112 is in the ON state, the network operator 200 is the same as receiving permission from the user for analysis of packets to be transmitted and received.

In step S31, when the information indicating the start of terminal use is received from the terminal agent 110 or the information that the action collection enabler 112 is in an off state, the network provider 200 transmits a user action collection permission request signal to the user To the terminal 100 (S32). The user action acquisition permission request signal is a request to allow packet analysis for collection of user real-time behavior information. Therefore, step S32 (and subsequent step S33) can be applied only when the action collection enabler 112 of the user terminal 100 is informed by the message received at step S31 that it is off.

The user terminal 100 may transmit the user activity collection permission signal to the network operator 200 in response to the request from the network operator 200 in step S32 (S33). The user action collection permission signal in this step is generated by the terminal agent 110 in response to the input of the user, or may be transmitted by a predetermined rule (for example, a condition preliminarily set by the user ), And so on), and transmitted. At this time, the user action collection permission signal may further include information on a predetermined permission condition (allowable time, permitted action, etc.).

Thereafter, the user terminal 100 uses one or more Internet services through the network operator 200 (S34). That is, the user uses the Internet service using the user terminal 100. When the user terminal 100 uses the Internet service, the user terminal 100 transmits and receives packets through the Internet. The user terminal 100 may terminate the permission to collect the user action at any time (S35). At this time, the terminal agent 110 of the user terminal 100 may turn off the action collection enabler according to the input from the user, or turn off the action collection enabler if the predetermined conditions are met.

FIG. 5A is a configuration diagram illustrating a schematic configuration of a user Big Data Information Providing Apparatus 300 according to an embodiment of the present invention in the service system shown in FIG. And FIG. 5B is a configuration diagram showing a schematic configuration of a user big data information providing apparatus 300 'according to another embodiment of the present invention in the service system shown in FIG. In contrast to FIGS. 5A and 5B, the big data information providing apparatus 300 'of FIG. 5B is different from the big data information providing apparatus 300 of FIG. 5A in that a function unit for user action extraction is included in the user behavior information collecting unit 310, Which is different from the providing apparatus 300. Here, the functional unit for user action extraction may include a packet analyzer 220, a user data extractor 230, and a user behavior extractor 240 of the network provider 200 described with reference to FIG. That is, the manager of the big data information providing apparatus 300 ', that is, the manager of the big data information providing apparatus 300' according to the embodiment shown in FIG. 5B extracts a part of the function of the network operator 200 In this case, the network provider 200 can perform only the same function as the existing Internet service provider (ISP) other than the function of the action collection authority manager 210 described above.

The big data information providing apparatuses 300 and 300 'collect user-related real-time behavior information and collect user-related information and external environment information. The big data information providing apparatuses 300 and 300 'manage all past log information related to the user. Such information may be stored in a predetermined storage unit by the big data information providing apparatuses 300 and 300 '. Also, the big data information providing apparatuses 300 and 300 'can extract real-time user big data using the stored information and analyze the existing cumulative big data to generate real-time characteristic information related to the user. The real-time characteristic information generated by the big data information providing device 300 or 300 'may be transmitted to the big data system user 400 (see FIG. 1), and the big data system user 400 may transmit real- Using the characteristic information, the user can provide the user-customized Internet service directly or utilize it by other Internet service providers.

Hereinafter, the big data information providing apparatuses 300 and 300 'will be described in detail with reference to FIGS. 5A and 5B. 5B, the functions of the components of the user behavior information collecting unit 310, that is, the packet analyzer 220, the user data extractor 230, and the user action extractor 240, Can be applied equally to each other, so a detailed description thereof will be omitted. 5A and 5B, the Big Data Information Providers 300 and 300 'include a Subscriber Behavior Information Collector 310, a Subscriber Additional Information Collector 320, An Environmental Information Collector 330, a Big Data Extractor 340, and a Realtime Analyzer 350. The big data information providing apparatuses 300 and 300 'may further include a distributed storage 360.

The user behavior information collecting unit 310 collects user real-time behavior information obtained based on a packet transmitted and received in real time by a user terminal using the Internet service. For example, the user behavior information collecting unit 310 may operate in a manner of collecting user real-time behavior information obtained by analyzing packets transmitted and received in real time. In this case, the user real-time behavior information is extracted by the network operator 200, more specifically, the operator action extractor 240 of FIG. 3 and / or the user action extractor of the big data information providing apparatus 300 ' (240). ≪ / RTI > In the former case, the network operator 200 need not necessarily be one, and the user behavior information collection unit 310 may collect user real-time behavior information extracted by a plurality of network operators 200.

The user additional information collection unit 320 collects user related information including personal information. The user-related information as user addition information indicates information excluding user behavior information, and can be generally provided in a fixed or semi-fixed data format. For example, the user addition information may include the user's age, gender, preference as well as the user's location information.

The external environment information collecting unit 330 performs a function of collecting external environmental information 20 (see FIG. 1). Such external environment information does not refer to all external information but refers only to information necessary for analyzing user behavior other than the user. Such external environment information may also have semi-regular or irregular data pockets. For example, the external environment information may include information outside the user's behavior such as weather, season, national events, holiday information, and the like. The source of the external environment information 20 need not be fixed, and addition, modification, deletion, and the like are possible.

The big data extractor 340 extracts user real-time behavior information collected by the user behavior information collection unit 310, user related information collected by the user additional information collection unit 320, And extracts real-time user big data using the collected external environment information. The extracted real-time user big data refers to a set of data related to the user at the present time, which is extracted according to a predetermined algorithm utilizing all or a part of the collected information described above. The user big data is not limited in its content, type, format, etc., and the range and contents of the user big data can be determined according to the policy of the operator who operates the big data information providing apparatus 300 and the like. Also, there is no particular limitation on the format of the real-time user big data to be extracted, and it can be a fixed, semi-fixed, and unstructured data.

All the data extracted by the big data extractor 340 are stored in the big data information providing apparatus 300, more specifically, in the distributed storage 360 described later, or only a selected portion is stored in the distributed storage 360 . For this, the Big Data Extractor 340 may operate in any one of the following three models, or both models may operate independently.

(Model 1) The method of not storing after extraction. In this case, the big data is extracted from various data sources and is also used by the real-time analyzer 350, but the extracted data is deleted without being stored. Therefore, the big data extractor 340 operating in this model does not need to transmit the generated real-time user big data to the distributed store 360. [

(Model 2) How to save only a part after extraction. According to this, the big data is extracted from various data sources and is also used by the real-time analyzer 350, but only a part of the extracted data is stored and the rest is deleted. Therefore, the big data extractor 340, which operates in this model, transmits only a part of the generated real-time user big data to the distributed storage unit 360.

(Model 3) A method for storing all extracted big data. According to this, not only the big data is extracted from various data sources, but also the real time analyzer 350 uses it, and also stores all of the extracted data. Therefore, the big data extractor 340, which operates in this model, delivers all of the generated real-time user big data to the distributed storage unit 360.

The real-time analyzer 350 analyzes the cumulative big data accumulated in the real-time user big data extracted by the big data extractor 340 to generate user real-time characteristic information related to the user. That is, the real-time analyzer 350 generates real-time user characteristic information considering the real-time user big data acquired at the present time for the specific user and the real-time user big data acquired for the user in the past. How the real-time analyzer 350 uses the data obtained in the past and the data currently acquired in generating the user real-time characteristic information may also be changed according to the policy of the operator who operates the big data information providing apparatus 300 .

The distributed storage unit 360 stores user real-time property information generated by the real-time analyzer 350 in a distributed environment. Accordingly, the data stored in the distributed storage unit 360 corresponds to the accumulated data analyzed by the real-time analyzer 350 for use in generating the user real-time characteristic information at the present time. The user real-time characteristic information at the present time generated by the real-time analyzer 350 may be stored in the distributed storage 360 again. For this purpose, the real-time analyzer 350 may transmit the generated user real-time property information to the distributed storage 360. [

The distributed storage unit 360 may store user real-time property information transmitted from the real-time analyzer 350, that is, cumulative big data for a specific user. The distributed storage unit 360 may further include a subscriber log manager 370 for managing past activity information of the user. The past behavior information of the user can be, for example, drama information that the user has recently been interested in, information related to past user preferences for a specific product, and the like. According to an aspect of the present embodiment, the past behavior information of the user may also be stored in the user log manager 370 of the distributed storage device 360. In generating the user real-time property information, The information stored in the manager 370 can be used together.

FIG. 6 schematically shows a configuration of a big data user 400 for using user real-time characteristic information generated by the big data information providing apparatus 300 (see FIG. 1). 6, the big data user 400 includes a big data information provider connector 410, a big data searcher 420, an Internet service connector 430, And a Subscriber Preference Manager 440. The big data user 400 receives the user real-time characteristic information from the big data information providing apparatus 300 and uses the same in various ways. In the present embodiment, there is no specific limitation on how the big data user 400 utilizes the user real-time characteristic information, but the configuration diagram of FIG. 6 may be applied to the Internet service 10 (see FIG. 1).

The information providing device connector 410 functions to connect another big data information providing device that provides user real-time characteristic information. In this case, the big data user can use the big data information providing apparatus 300 as if it is a local system. That is, even though only one big data information providing apparatus 300 is used, the big data user can acquire and utilize real-time user characteristic information provided by another big data information providing apparatus.

The big data search unit 420 is connected to the real-time analyzer 350 and the distributed storage unit 360 of the big data information providing apparatus 300 and has a function of searching for big data using a predetermined big data query language . There is no particular restriction on the big data query language that can be used, but query languages such as Hive, Impala, Dremel, Drill, Tajo, etc. can be used.

The Internet service provider 430 performs a function of transferring the user's preference information to one or more Internet services 10 (see FIG. 1) provided to the user according to the user's actions in real time. That is, the Internet service provider 430 may provide the real-time user characteristic information generated by the big data information providing device 300 to the Internet service 10 to utilize. In addition, the user preference manager 440 stores and manages information related to the user's preferences during the user behavior collection period so that the user preference manager 440 can use the information.

The embodiments of the present invention described above can be implemented in embodiments in the following applications. Hereinafter, a specific embodiment will be described with reference to Fig.

First, the network operator 200 acquires user's real-time behavior information as well as user addition information and external environment information through the user terminal 100. The Big Data Extractor extracts real-time user Big Data from such information, and the Real-Time Analyzer can analyze real-time user big data accumulated in the past as well as the real-time user Big Data to generate user real- have. The user real-time property information thus generated can be transmitted to the big data user 400, and the big data user can utilize the real-time property information of the user to provide the user-customized Internet service (for example, ). ≪ / RTI >

For example, the user real-time characteristic information generated by the big data information providing device 300 may be provided to the advertisement business entity, and the advertisement business entity can provide the advertisement differentiated according to the individual. For example, when the user is searching for movie related information, the advertisement provider may notify the user of the favorite movie, as well as the location information of the user, based on the user real-time property information generated by the big data information providing device 300 Or provide information on the online movie content service provider or the like together with the user.

As another example, embodiments of the present invention may be applied for users who are in mobile cloud computing. In a mobile cloud computing environment, mobile device resources are reused, including mobile device resource provider's stored content, mobile device resource provider's functionality, and mobile device resource provider's installed applications. do. In this case, the user of mobile cloud computing can recommend mobile device resources and provide related information based on what action they are taking anytime and anywhere. For example, when a mobile cloud computing user takes a picture using a smart device, the network operator 200 or the big data information providing device 300 collects the user's behavior and also uses the user-related information and the external environment information Real-time user big data can be extracted. The network operator 200 or the big data information providing device 300 may generate user real-time property information and provide the real-time property information to the big data user 400. At this time, the big data user 400 may recommend a photo editing tool (or an application for it) based on the user real-time property information, or recommend a photo editing application in a mobile cloud environment.

User activity information using Internet service can be analyzed in real time according to the development of cloud computing and big data technology as well as the increase of internet usage and spread of smart phone. According to the present invention, service providers providing Internet services can provide services such as user-friendly contents and advertisements based on the analysis. The analysis of these users' behaviors has become very potent and is expected to become a new growth engine for the IT sector in the future. Also, the performance of a mobile device has evolved to a higher speed and a larger capacity as time passes. As the use time of such a high-function high-density device is gradually increased, a method of using it can also be diversified.

In the past, provision of a user-customized service was possible only within a provider providing an Internet service, whereas according to an embodiment of the present invention, users' characteristics were also analyzed and shared among providers of the Internet service, Can be provided. The embodiments of the present invention can be applied to mobile-based businesses and advertisements that have not been provided based on user behavior. In addition, since the embodiment of the present invention can be utilized for providing user-customized contents and advertisements, the effect of developing related industries can be expected.

The above description is only an example of the present invention, and the technical idea of the present invention should not be interpreted as being limited by this embodiment. The technical idea of the present invention should be specified only by the invention described in the claims. Therefore, it is apparent to those skilled in the art that the above-described embodiments may be modified and embodied in various forms without departing from the technical spirit of the present invention.

Claims (11)

A user behavior information collecting unit for collecting user real time behavior information obtained based on a packet transmitted and received in real time by a user terminal using the Internet service;
A user additional information collection unit for collecting user related information including personal information;
An external environment information collecting unit for collecting external environment information that is external information of the user;
A big data extractor for extracting real-time user big data using the collected user real-time behavior information, the user related information, and the external environment information; And
And a real-time analyzer for analyzing cumulative big data accumulated in the real-time user big data extracted by the big data extractor to generate user real-time characteristic information related to the user. The method according to claim 1,
Further comprising a distributed store for storing the cumulative big data in a distributed environment,
Wherein the real-time analyzer analyzes cumulative big data stored in the distributed storage. 3. The method of claim 2,
Wherein the distributed storage includes a user log management unit for managing past behavior information of the user. 3. The method of claim 2,
The distributed storage further stores user real-time property information generated by the real-time analyzer,
Wherein the real-time analyzer further generates user real-time property information by using past user real-time property information stored in the distributed storage. The method according to claim 1,
The user real-time behavior information includes at least one of accessing web page information related to a web page accessed by a user, utilization service information related to a service used by a user in a connected web page, and used application information related to an application used by the user Based on the user's real-time behavior. The method according to claim 1,
Wherein at least one of a network operator and an administrator of the big data information providing apparatus analyzes packet transmitted and received in order to obtain the user real-time behavior information. 7. The apparatus according to claim 6, wherein the user behavior information collecting unit
A packet analyzer for analyzing packets transmitted and received by a user terminal in real time;
A user data extractor for extracting user data using analysis results of the packet analyzer; And
And a user behavior extractor for extracting the user real-time behavior information from the user data extracted by the user data extractor. 8. The method of claim 7,
Wherein the user terminal comprises a behavior collection enabler for allowing a user to select whether to allow real-time analysis of packets to be transmitted and received,
The user behavior information collection unit may further include a behavior collection authority manager for managing information on whether real-time behavior information collection for the user terminal is permitted based on on / off indication set in the behavior collection enabler Based on the user's real-time behavior. The method according to claim 1,
When there is a request for big data information for a specific user from a big data system user, the real-time analyzer generates the user real-time characteristic information for the requested user and delivers the user real-time characteristic information to the big data system user. A big data information providing device based on an action. 10. The method of claim 9,
Wherein the big data system user comprises a user preference manager for managing the user's preference using the received user real-time characteristic information. A method for providing big data information based on a real-time behavior of a user using an Internet service,
Collecting user real-time behavior information based on a packet transmitted and received in real time by a user terminal using the Internet service;
Collecting user-related information including personal information;
Collecting external environment information that is external information of the user;
Extracting real-time user big data using the collected user real-time behavior information, the user-related information, and the external environment information; And
And analyzing cumulative big data accumulated in the extracted real-time user big data to generate user real-time characteristic information related to the user.

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