KR20160037058A - Apparatus and method for supporting personalized service based on big data analysis - Google Patents
Apparatus and method for supporting personalized service based on big data analysis Download PDFInfo
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Abstract
Description
BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a technique for using big data, and more specifically, to an apparatus and method for supporting a personalized service based on big data analysis.
Recently, interest in big data technology that gives meaningful value to massive data such as stereotyped or unstructured data is increasing. Many application services are required to produce accurate and fast results through big data.
The term big data refers to data sets that have common software tools and computer systems to collect, manage, store, search, share, analyze, and visualize data belonging to a certain amount of time (data set). The size of the big data may have a range of terabytes, exabytes, or zeta bytes. Big data exists in various fields. For example, web logs, radio frequency identification (RFID), social networks, social data, Internet text and documents, internet search indexing, astronomy, meteorology, genomics, Biogeochemistry, biology, military surveillance, medical records, photographic records, video recordings, and electronic commerce. In the big data era, it is very important to retrieve efficient data and judge the accuracy and objectivity of the data by using it.
On the other hand, context aware computing technology is attracting attention as a base technology for building a ubiquitous computing environment. The context aware computing technology identifies and analyzes the user's current situation information such as the user's current location, time, other people or information appliances around the user, user behavior and work history, To search for and drive it. Currently, technologies that provide services using personal situation information mostly use piecemeal information.
One problem to be solved by the present invention is to provide a personalization service support apparatus and method for providing personalized information based on a big data analysis.
Another object of the present invention is to provide a personalization service supporting apparatus capable of deriving different results according to environmental information, external information, big data information, or big data analysis information even if user information and user situation information are the same, Method.
Another object of the present invention is to provide a personalization service support apparatus and method capable of providing control instruction information to an external apparatus according to personalized information derived based on a big data analysis.
According to an embodiment of the present invention, there is provided a device for supporting personalized services, which includes at least one of a user's information, a user's situation information, sensor information, environment information, external information, big data information, An information analyzing unit for analyzing the information obtained by the information obtaining unit and deriving personalized information to be provided to the user; and an information analyzing unit for analyzing the information obtained by the information obtaining unit, An information provision determination unit for determining whether it is necessary to provide the personalized information derived by the user to the external apparatus and whether or not it is necessary to provide the personalization information to the external apparatus, And an information providing unit for providing personalized information to the user when necessary.
According to an embodiment of the present invention, the information acquiring unit further includes an external information acquiring unit acquiring at least one of external information related to the analysis basic information acquired by the basic information acquiring unit, external information irrelevant to the analysis basic information, The information analyzing unit may analyze the basic information of analysis obtained by the basic information obtaining unit and the information obtained by the external information obtaining unit and provide the same to the user.
In this case, the information obtaining unit may further include a big data analysis information obtaining unit for obtaining at least one of big data information related to the analysis basic information obtained by the basic information obtaining unit and big data analysis information related to the analysis basic information The information analyzing unit analyzes the basic information of analysis obtained by the basic information obtaining unit, the information obtained by the external information obtaining unit, and the information obtained by the big data analysis information obtaining unit, Information can be derived.
According to another aspect of the present invention, the information obtaining unit obtains big data analysis information for obtaining at least one of big data information related to the analysis basic information obtained by the basic information obtaining unit and big data analysis information related to the analysis basic information The information analyzer may analyze the basic information obtained by the basic information obtaining unit and the information obtained by the big data analysis information obtaining unit, and provide the information to the user.
According to another aspect of the present invention, the basic information obtaining unit includes a user information obtaining unit for obtaining user information including basic information and personal information of a user, And an environmental information obtaining unit for obtaining current environmental information from a device including a user's situation information obtaining unit for obtaining the current user's status information from the sensor and a sensor or sensor disposed around the user.
In this case, the personal information may include at least one of personal information requiring consent of the user and personal information unnecessary for the user's consent.
Alternatively, the user information obtaining unit may obtain information of a user from a terminal carried by the user, a sensor disposed around the user, or a user interface.
Alternatively, the user's situation information obtaining unit may use at least one of Near Field Communication (NFC), Radio Frequency Identification (RFID), Bluetooth, Infrared Data Association (IrDA), Ultra Wide Band (UWB) So that the current user's situation information can be obtained from the sensor.
Alternatively, the user's situation information obtaining unit may obtain the current user's status information using the image obtaining apparatus.
According to another aspect of the present invention, the information analyzing unit includes an information integration analyzing unit that integrates and analyzes information according to a predetermined analysis standard based on the information obtained by the information obtaining unit, And a related information deriving unit for deriving personalized information to be provided to the user in the result of the comparison.
In this case, the related information derivation unit can derive different results according to environment information, external information, big data information, or big data analysis information even if the user information and the user situation information are the same.
Alternatively, the personalized information may include at least one of notification information, instruction information, and recommendation information.
According to another aspect of the present invention, the information providing unit may provide personalized information to the user in the form of user-recognizable information such as text, audio, and video.
According to another aspect of the present invention, when it is necessary for the personalization service support device to provide the personalized information as a result of the determination by the information provision determination unit, the personalization service support apparatus controls the device in association with the personalized information And an information output unit for providing the instruction information.
In this case, the external device may be connected to the personalization service supporting device through a wired or wireless network to transmit and receive information.
According to another aspect of the present invention, the personalization service supporting apparatus further includes an information support requesting unit for requesting the information analyzing unit to analyze information, and the information analyzing unit, when the information analysis request is requested by the information support requesting unit The information obtained by the information obtaining unit can be analyzed and personalized information to be provided to the user can be derived.
In this case, the information support request unit may include an abnormal behavior determination unit of the user who determines whether the user's context information corresponds to an abnormal behavior, and the information analysis unit may determine whether the user's situation When the information corresponds to an abnormal behavior, the information obtained by the information obtaining unit can be analyzed and personalized information to be provided to the user can be derived.
Alternatively, the information support request unit may include a sensor anomaly information determination unit that determines whether the sensor information corresponds to the anomaly information, and the information analysis unit determines that the sensor information determined by the sensor anomaly information determination unit corresponds to the anomaly information The information obtained by the information obtaining unit can be analyzed and personalized information to be provided to the user can be derived.
Alternatively, the information support request unit may include an analysis support request unit for obtaining the command of the user, and the information analysis unit may analyze the information acquired by the information acquisition unit when the analysis support request unit acquires the command of the user, Personalized information to be provided to the user.
At this time, the user's command can acquire a command of the user by using a data acquisition device which can recognize the data in the form of letters, numbers, symbols, sounds, and the like.
According to an aspect of the present invention, there is provided a computer-readable recording medium storing a program for executing a personalization service support method according to an exemplary embodiment of the present invention.
As described above, according to the embodiment of the present invention, personalized information can be provided based on the big data analysis.
According to an embodiment of the present invention, even if the user's information and the user's situation information are the same, different results can be derived according to environmental information, external information, big data information, or big data analysis information.
According to an embodiment of the present invention, control instruction information may be provided to an external device according to personalized information derived based on a big data analysis.
1 is a diagram illustrating an example of a data source of a personalization service supporting apparatus according to an exemplary embodiment of the present invention.
2 is a block diagram showing a schematic configuration of a personalization service supporting apparatus according to an embodiment of the present invention.
3 is a block diagram showing a schematic configuration of a personalization service supporting apparatus according to another embodiment of the present invention.
4 is a block diagram showing a schematic configuration of a basic information obtaining unit of a personalization service supporting apparatus according to an embodiment of the present invention.
5 is a block diagram showing a schematic configuration of an information support request unit of a personalization service support apparatus according to an embodiment of the present invention.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail with reference to the accompanying drawings. However, these drawings are only for illustrating the contents and scope of the technical idea of the present invention, and the technical scope of the present invention is not limited or changed. It will be apparent to those of ordinary skill in the art that various changes and modifications can be made within the scope of the technical idea of the present invention based on these examples.
In addition, terms and words used in the present specification are terms selected in consideration of functions in the embodiments, and the meaning of the terms may be changed according to the intention or custom of the invention. Therefore, the terms used in the following embodiments are defined according to their definitions when they are specifically defined in this specification, and unless otherwise defined, they should be construed in a sense generally recognized by ordinary artisans.
1 is a diagram illustrating an example of a data source of a personalization service supporting apparatus according to an exemplary embodiment of the present invention.
Referring to FIG. 1, the personalization
The personalization
2 is a block diagram showing a schematic configuration of a personalization service supporting apparatus according to an embodiment of the present invention.
Referring to FIG. 2, the personalization
In the following description, the basic
The
The basic
Here, 'analysis basic information' means information to be analyzed in order to provide optimized information to the user. For example, the analysis basic information may include user information, user context information, sensor information, environmental information, external information, big data information, and big data analysis information.
'User information' means user's personal information. For example, the user's information may include age, gender, address, occupation, and the like. Alternatively, the user information may include user's personal schedule information, commute / departure information, vehicle information, shopping information, personal preference information, and the like. According to one embodiment, the user's information may be obtained from the user via the user interface.
'User's context information' means information on the current status of the user. For example, the status information of the user may include information on whether the user is abnormal in operation or the like. If the user is in a situation where there is no movement for a predetermined period of time or a specific motion is detected, it can be regarded that the operation of the user is abnormal. For example, if a user falls down on the floor due to stunning or the like and does not move, it can be regarded that the operation of the user is abnormal. At this time, information that the user has collapsed and does not move is included in the user's current situation information.
According to one embodiment, the context information of the user may be obtained from a sensor capable of sensing the movement of the user. Specifically, the user can detect the movement of the user from a sensor disposed at a periphery of the user or a sensor disposed at a position capable of sensing the user, thereby obtaining the user's situation information. For example, if the user is stuck on the floor due to stunning or the like and does not move, it is possible to acquire information that the user is not moving from the sensor disposed at the periphery of the user or the sensor disposed at the position capable of sensing the user, If the movement of the user is not detected for more than the time, it can be regarded that the operation of the user is abnormal. At this time, information that the user has collapsed and does not move is included in the user's current situation information.
'Sensor information' means information that can be acquired from the sensor. According to one embodiment, the sensor may be an environmental sensor including a temperature sensor, a pressure sensor, a humidity sensor, an infrared sensor, a gas sensor, an intrusion detection sensor, a chair occupancy sensor, and the like. The sensor information may be obtained from a sensor disposed around the user. For example, when a user sits down from a living room to a chair, the temperature sensor measures the temperature of the living room, the pressure sensor measures pressure while the user is walking, and the chair- Can be perceived as sitting on a chair. According to another embodiment, the sensor may be attached to main devices such as a refrigerator, a television, and a washing machine, or may be connected with a main device through a network to obtain information on whether the main devices are operating normally. For example, it is possible to obtain information on the normal operation of the refrigerator from the sensor attached to the refrigerator, or obtain information on whether the gas boiler is operating normally from the sensor attached to the gas boiler.
'Big data information' means un-analyzed information obtained from a big data source, and 'Big data analysis information' means information obtained by analyzing and refining from a big data analysis system or other big data analysis related systems . Big Data Information " or " Big Data Analysis Information " includes Structured Data, Semi-Structured Data, and Unstructured Data. The formatted data is data stored in a fixed field, for example, a relational database, a spreadsheet, and the like. The semi-structured data is not stored in a fixed field, but includes data including metadata and schema, for example, XML, HRML, and the like. Unstructured data is data that is not stored in a fixed field, for example, a text document capable of text analysis, image data, moving picture data, voice data, and the like.
The basic
The external
Here, the 'external information related to the analysis basic information' refers to information retrieved from an external data source using the analysis basic information obtained by the basic
The 'external information unrelated to the analysis basic information' refers to information necessary for deriving the personalized information to be provided to the user although it is not directly related to the analysis basic information obtained by the basic
The big data analysis
The
According to an aspect, the
According to another aspect, when the
According to another aspect, when the
According to an aspect, the
The information
According to one embodiment, the
According to another embodiment, when the
According to another embodiment, when the
The related
At this time, the related
For example, suppose that a user wants to be provided with information to travel to a particular area. If there is a possibility that a social problem such as a riot signal, a demo, a strike, a war, or the like may occur or occur in a specific region analyzed by the information
On the other hand, the personalized information may include at least one of notification information, instruction information, and recommendation information.
The information
For example, the personalized information derived by the
The criterion of the information requiring the consent of the user and the information of which the consent of the user is not required may be set differently according to the type of the information obtained by the
According to one embodiment, the information providing
The
According to one embodiment, the
The
3 is a block diagram showing a schematic configuration of a personalization service supporting apparatus according to another embodiment of the present invention.
Referring to FIG. 3, the personalization
The information
The personalization
The
In this case, the external device is a device capable of transmitting and receiving information by being connected to a personalized service supporting device through a wired or wireless network. For example, the
4 is a block diagram showing a schematic configuration of a basic information obtaining unit of a personalization service supporting apparatus according to an embodiment of the present invention.
4, the basic
The user
The user
According to one embodiment, the user
The user's context
According to one embodiment, the context information of the user may be obtained from a sensor capable of sensing the movement of the user. Specifically, the user can detect the movement of the user from a sensor disposed at a periphery of the user or a sensor disposed at a position capable of sensing the user, thereby obtaining the user's situation information. For example, if the user is stuck on the floor due to stunning or the like and does not move, it is possible to acquire information that the user is not moving from the sensor disposed at the periphery of the user or the sensor disposed at the position capable of sensing the user, If the movement of the user is not detected for more than the time, it can be regarded that the operation of the user is abnormal. At this time, information that the user has collapsed and does not move is included in the user's current situation information. As another example, the sensor may be an environmental sensor including a temperature sensor, a pressure sensor, a humidity sensor, an infrared sensor, a gas sensor, an intrusion detection sensor, a chair occupancy sensor, and the like. When the user sits down in the living room to sit on the chair, the temperature sensor measures the temperature of the living room, the pressure sensor measures the pressure while the user is walking, and the chair occupancy sensor sits on the chair while the user is sitting on the chair Can be detected.
According to another embodiment of the present invention, the user's context
According to another embodiment, the user's context
The environment
According to one embodiment, the sensor disposed around the user may be an environmental sensor including a temperature sensor, a pressure sensor, a humidity sensor, an infrared sensor, a gas sensor, an intrusion detection sensor, and the like. The environmental sensor is a sensor for measuring environmental changes such as the temperature of the room and the pressure of the floor. These environmental sensors are used to obtain indirect information about user health. For example, the environment
The environment
5 is a block diagram showing a schematic configuration of an information support request unit of a personalization service support apparatus according to an embodiment of the present invention.
Referring to FIG. 5, the information
Hereinafter, the user's abnormal behavior information
The user's abnormal behavior information
According to one embodiment, the context information of the user may be obtained from a sensor capable of sensing the movement of the user. Specifically, the user can detect the movement of the user from a sensor disposed at a periphery of the user or a sensor disposed at a position capable of sensing the user, thereby obtaining the user's situation information. For example, if the user is stuck on the floor due to stunning or the like and does not move, it is possible to acquire information that the user is not moving from the sensor disposed at the periphery of the user or the sensor disposed at the position capable of sensing the user, If the movement of the user is not detected for more than the time, it can be regarded that the operation of the user is abnormal. At this time, information that the user has collapsed and does not move is included in the user's current situation information. The user's abnormal behavior information
The sensor anomaly information
According to one embodiment, the sensor may be an environmental sensor including a temperature sensor, a pressure sensor, a humidity sensor, an infrared sensor, a gas sensor, an intrusion detection sensor, a chair occupancy sensor, and the like. For example, when a fire occurs in a house, the temperature sensor can obtain temperature information that is different from the usual temperature information. At this time, the sensor abnormality information
According to another embodiment, when a fire or an intruder is detected in a third area other than the area where the user is located, the sensor abnormality information
The analysis information
According to one embodiment, a user may request derivation of personalized information to the personalized
Here, the user's command can acquire the user's command by using a data acquisition device which can recognize the data in the form of letters, numbers, symbols, voice, and the like.
According to another embodiment, the user's command may be in the form of information according to the user's constant life schedule. For example, the command of the user may be in the form of life pattern information that is regularly scheduled, such as information on commute / departure of the user. In this case, the analysis information
According to another embodiment, the analysis information
Hereinafter, an example of receiving personalized information from a personalization service support apparatus according to an embodiment of the present invention will be described in detail.
For example, if an emergency occurs in which the user can not move his / her body in a situation where the user is alone in the home, the personalization service support device may contact the user's acquaintance by wire or wireless, or may make an urgent medical request to the fire department have. Specifically, the user acquires information from the sensors disposed around the user that motion is not detected for a predetermined period of time, determines that the user's situation is an emergency through analysis of external information and big data information, Personalized information can be derived. At this time, the derived personalized information may be information for transmitting a text message or the like from the address book of the mobile terminal registered as the user information to the family member or the acquaintance. Alternatively, the derived personalized information may be information that can make an urgent medical request to the fire department.
As another example, if the user wishes to shop, the user can receive shopping information of a person having similar preferences or sale information, price information, fashion information, and the like of personal information from the personalization service support device as personalized information. At this time, the personalization service supporting device may provide the information such as the price efficiency by putting the transportation means to the shopping store as an analysis element.
As another example, if the user wishes to travel, the user can be provided with the status, accommodation, traffic conditions, and the like of the travel destination according to the travel plan from the personalized service support device. Specifically, it is possible to provide an optimal route by analyzing the traffic situation on a route to a travel destination, and to provide information recommending a travel destination to a safe place by detecting an emergency such as an accident, a terror, and the like.
Therefore, by collecting and analyzing the basic information acquired according to the service user, the current situation information of the user, other external information, big data information, public data information, SNS data information and open data information, . It is possible to derive completely different information according to external information variables, even if it acquires personal information of the same situation, out of the superficial scope of providing necessary information simply based on basic information of the service user. In addition, users are always provided with optimized information because they take into consideration both external information and big data information, including social changes and geographical or climatic changes. Furthermore, it may have a structure capable of more accurately providing the user's desired preferences based on accumulated information of the individual.
In addition, such a personalized service support apparatus may be stored in a computer-readable recording medium on which a program for executing by a computer is recorded. At this time, the computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. Program instructions to be recorded on the medium may be those specially designed and constructed for the proposed invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. The medium may be a transmission medium such as an optical or metal line, a wave guide, or the like, including a carrier wave for transmitting a signal designating a program command, a data structure, or the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa. In addition, the computer-readable recording medium may be distributed to network-connected computer devices so that computer-readable codes can be stored and executed in a distributed manner.
It will be apparent to those skilled in the art that various modifications, substitutions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims. will be. Therefore, the embodiments disclosed in the present invention and the accompanying drawings are intended to illustrate and not to limit the technical spirit of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments and the accompanying drawings . The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents thereof should be construed as falling within the scope of the present invention.
100: Personalization service support device
110: Information obtaining unit
111, 400: basic information obtaining unit
112: External information acquisition unit
113: Big data analysis information obtaining unit
120, 500: Information support request section
130: Information Analysis Department
131: Information Integration Analysis Department
132: related information deriving unit
140:
150: Information provision
160: Information output section
170: Information DB
410: User information acquisition unit
420: Status information acquisition unit of the user
430: Environment information acquisition unit
510: User's abnormal behavior information support request section
520: Sensor abnormality information support request section
530: Analysis information support request section
Claims (1)
An information analyzer for analyzing the information acquired by the information acquisition unit and deriving personalized information to be provided to the user;
An information provision determination unit for determining whether it is necessary to provide the personalized information derived by the information analysis unit to the user and whether it is necessary to provide the personalized information to the external device; And
An information providing unit for providing personalized information to a user when it is necessary to provide the personalized information to the user as a result of the information provision determining unit;
And a personalization service support device.
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KR1020140128654 | 2014-09-25 | ||
KR20140128654 | 2014-09-25 |
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KR20160037058A true KR20160037058A (en) | 2016-04-05 |
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KR1020150047747A KR20160037058A (en) | 2014-09-25 | 2015-04-03 | Apparatus and method for supporting personalized service based on big data analysis |
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Cited By (1)
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KR20230021568A (en) * | 2021-08-04 | 2023-02-14 | 김비서주식회사 | Personalized agency portal service provding system using my data and method thereof |
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KR20230021568A (en) * | 2021-08-04 | 2023-02-14 | 김비서주식회사 | Personalized agency portal service provding system using my data and method thereof |
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