KR20160109164A - Method for providing notification service based on adaptative user model, server and system - Google Patents

Abstract

A method for providing a notification service comprises: a step of collecting context data from a user terminal periodically; a step of receiving location information periodically from the user terminal; a step of analyzing a moving pattern of the user terminal based on location information; a step of creating a user model based on the analyzed moving pattern; a step of selecting a target service based on the context data; a step of monitoring a situation for providing a notification service on the target service; and a step of providing the notification service for the user terminal.

Description

Technical Field [0001] The present invention relates to an adaptive user model based notification service providing method, a server,

The present invention relates to an adaptive user model-based notification service providing method, a server and a system.

With the development of the mobile communication field, mobile devices such as smart phones, tablet PCs, and wearable devices have developed together. Mobile devices such as smartphones, tablet PCs, and wearable devices are equipped with a global positioning system (GPS) to identify the location of a user using the mobile device and perform navigation functions such as navigation. Therefore, many technologies using location information have been developed through smart terminal equipped with GPS. For example, there are navigation applications, roads where smart terminals are currently located, map applications that output nearby restaurants, and health applications that measure travel distances.

In addition, with the popularization of smart terminals, various services that have been provided through existing PCs are provided at various places outside the home through smart terminals. For example, the user can chat with another person on the move, send and receive e-mail, and receive a schedule management service.

On the other hand, services such as e-mail and schedule management, which are provided through PCs and smart terminals, only provide services limited to a specified date, place, and time depending on the input of the user. That is, the service according to the related art is provided manually or semi-automatically.

In recent years, development and interest in wearable devices such as smart watches and smart glasses have increased as well as smartphones and tablet PCs, and such services are expected to increase.

In this regard, Laid-open Patent Publication No. 2013-0099770 discloses a technology related to an ontology-based smart scheduler.

A server, and a system for periodically analyzing a movement pattern of a user terminal based on position information received from a user terminal and generating a user model based on the analyzed movement pattern.

A method of selecting a target service based on context data and a user model received from a user terminal, monitoring a situation of providing a notification service for the target service, and providing a notification service to the user terminal in an appropriate situation to provide the notification service , Servers and systems.

As a technical means for achieving the above technical object, an embodiment of the present invention includes a method of periodically collecting context data from a user terminal, periodically receiving position information from a user terminal, Analyzing the movement pattern of the user terminal, periodically analyzing the movement pattern of the user terminal, generating a user model based on the analyzed movement pattern, selecting a target service based on the context data, A step of monitoring a situation to be provided, and a step of providing a notification service to a user terminal.

According to another aspect of the present invention, there is provided a communication system including a context data collection unit for periodically collecting context data from a user terminal, a location information receiver for periodically receiving location information from the user terminal, A user model generation unit for generating a user model based on the analyzed movement pattern, a target service selection unit for selecting a target service based on the context data, a situation for providing a notification service for the target service, And a notification service providing unit for providing the notification service to the user terminal.

According to another aspect of the present invention, there is provided an adaptive user model based notification service providing system including a notification service providing server and a user terminal. The notification service providing server periodically analyzes the movement pattern of the user terminal based on the positional information received from the user terminal, generates a user model based on the analyzed movement pattern, and generates a user model based on the context data received from the user terminal A service may be selected, a situation of providing a notification service for the target service may be monitored, and a notification service may be provided to the user terminal.

Also, the user terminal may transmit the context data and the location information to the notification service providing server, and output a notification based on the notification service received from the notification service providing server.

According to any one of the above-mentioned objects of the present invention, a movement pattern of a user terminal is periodically analyzed based on position information received from a user terminal, and a user model is generated based on the analyzed movement pattern A server, and a system.

Also, a target service is selected on the basis of the context data and the user model received from the user terminal, a situation of providing a notification service for the target service is monitored, and a notification service is provided to the user terminal in an appropriate situation to provide the notification service A server, and a system.

The existing schedule management service, which is provided manually or semi-automatically, can provide an intelligent alarm service according to the user's profile, location and situation. In addition, it is possible to provide a personalized intelligent alarm service by creating and adapting a user model based on a user's context and movement pattern.

1 is a configuration diagram of a notification service providing system according to an embodiment of the present invention.
2 is a block diagram of a notification service providing server according to an embodiment of the present invention.
3 is a diagram illustrating a method of storing each target service according to a preset template according to an embodiment of the present invention.
4 is a diagram illustrating an embodiment of providing a notification service of the present invention.
5 is a diagram illustrating another embodiment of providing a notification service of the present invention.
6 is a flowchart illustrating a notification service providing method according to an embodiment of the present invention.
7 is a flowchart illustrating a method of generating a user model according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as "including" an element, it is to be understood that the element may include other elements as well as other elements, And does not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof.

In this specification, the term " part " includes a unit realized by hardware, a unit realized by software, and a unit realized by using both. Further, one unit may be implemented using two or more hardware, or two or more units may be implemented by one hardware.

In this specification, some of the operations or functions described as being performed by the terminal or the device may be performed in the server connected to the terminal or the device instead. Similarly, some of the operations or functions described as being performed by the server may also be performed on a terminal or device connected to the server.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a configuration diagram of a notification service providing system according to an embodiment of the present invention. Referring to FIG. 1, the notification service providing system 1 may include a notification service providing server 100, a user terminal 110, and a network 120.

The notification service providing server 100 may periodically collect context data from the user terminal 110. [ The context data may include at least one of a user's personal information, e-mail, or schedule of the user terminal 110.

The notification service providing server 100 may extract at least one keyword from the context data. For example, the notification service providing server 100 may extract at least one keyword through a text mining method.

The notification service providing server 100 may classify the extracted at least one keyword by target service. The target service is a service provided by the notification service providing system 1 and may include a departure route, a return route, a scheduled arrival time, a restaurant, a coupon, weather, news of interest, and the like.

The notification service providing server 100 may classify the extracted at least one keyword for each target service and match the additional information for each target service. For example, in the case of a target service related to a schedule, the notification service providing server 100 can sort and categorize additional information such as place, time limit, and time by schedule.

Also, for a weather-related target service, the weather for one or more locations and times can be categorized considering the user's user model. For example, the first weather service may be weather of the user's residence, and may include time information that the user is active in the residence based on the user's model. Also, the second weather service may include weather information of the location of the user of the user based on the user model, and the time information that the user is working in the company.

Also, in the case of the target service related to watching TV, the user can be classified into categories according to the user's model. For example, the TV viewing service may include a sports category and a competition time for each event. Also, the TV viewing service may include viewing time of each TV program as an entertainment category.

The notification service providing server 100 may store each of the classified target services according to a predetermined template. Templates can be different for each target service. For example, a template of a target service related to a schedule may include a schedule name, a place, a time limit, a time, and the like. In addition, the weather related template may include location, time information, and the like. Further, the template related to the TV viewing may include category, time information, and the like.

The notification service providing server 100 may update the stored target service according to a predetermined template based on the context data periodically collected. For example, in the template, "Company Year-end Party", "Gangnam Station", "December 22" were stored in the template as the target service related to the schedule based on the context data of the user terminal, December 29 ", the notification service providing server 100 recognizes that the company year-end party schedule is changed to December 29 at the time of collecting the email data, and automatically stores the pre-stored template in the" company year-end party " , "Gangnam Station", and "December 29".

In addition, based on the context data of the user terminal, "Infinite Challenge 232 times", "December 20", "18:30" was stored in the template as a target service related to watching TV, The notification service providing server 100 recognizes that the user can not view 232 times of the infinite challenge at the time when collecting the text message data, Can be updated to "232 rebroadcasts of Infinite Challenge", "December 22", and "13:30".

The notification service providing server 100 may periodically receive location information from the user terminal 110.

The notification service providing server 100 may periodically analyze the movement pattern of the user terminal 110 based on the location information periodically collected from the user terminal 110. [ The movement pattern may include at least one of a movement location, a movement route, a departure time, an arrival time, and a residence time for each movement place, as a movement pattern for each day of the user terminal 110.

For example, based on the location information received from the user terminal 110, the notification service providing server 100 transmits a notification to the user terminal 110 at "9 o'clock on weekdays", "18 o'clock on weekdays", " Activity "," using the subway to leave ", and" activity in Noryangjin from 9 to 11 on weekends ".

The notification service providing server 100 can generate a user model based on the movement pattern. The notification service providing server 100 may receive the subscription information of the user terminal 110 from the user terminal 110 and may generate the user model based on the subscription information.

The user model generated based on the subscription information may be a basic user model. For example, the notification service providing server 100 may acquire information on the user's sex, residence, workplace, family relationship, and the like through the subscription information to create a basic user model.

The notification service providing server 100 may generate a basic user model based on web data or pre-stored data corresponding to the subscription information.

The notification service providing server 100 may transmit a query message related to the movement pattern to the user terminal 110. [ In addition, feedback of a query message can be received from the user terminal 110 and the user model can be adapted based on the feedback.

For example, the notification service providing server 100 can transmit a query message to the user terminal 110 if the user is active at a specific location from 9:00 to 18:00 on weekdays, and inquires whether the corresponding location corresponds to the workplace. The service providing server 100 may receive the feedback on the query message from the user terminal 110 and adapt the basic user model.

The notification service providing server 100 not only adapts the basic user model through the feedback of the inquiry message and the inquiry message but also the movement pattern and the reasoning process based on the position information and the position information of the user terminal 110 periodically collecting You can also adapt the user model automatically. For example, the service providing server 100 can automatically adapt the user model to correspond to the workplace when the user operates at a specific position from 9:00 to 18:00 on weekdays.

Also, the notification service providing server 100 may analyze the user's tendency based on the movement pattern of the user terminal 110 to adapt the user model. The notification service providing server 100 can determine the user's tendency by analyzing the arrival time, the movement route, the movement time, and the like of the appointment place of the user.

For example, if the user's movement time is relatively slow and arrives late at the appointed place each time, the notification service providing server 100 can determine that the alarm service should be provided relatively early. In addition, if the user's moving time is relatively fast and arrives before the appointment time, the notification service providing server 100 can determine that the alarm service should be provided relatively late.

Although only the adaptation of the user model in relation to the schedule has been described in the above-described embodiment, the user model can be adapted to various target services. For example, the notification service providing server 100 may analyze the time at which the user of the user terminal 110 checks the weather, and may adapt the user model to provide weather information before that.

By adapting the user model, more accurate customized alarm service can be provided over time.

The notification service providing server 100 can select the target service based on the context data. The target service is a service provided by the notification service providing system 1 and may include a departure route, a return route, a scheduled arrival time, a restaurant, a coupon, weather, news of interest, and the like.

The notification service providing server 100 can select a target service using a database for estimating semantics such as semantics and ontology. For example, when the location of the user terminal 110 is used in selecting a target service, the location of the user terminal 110 and the vicinity of the location can be used comprehensively.

The notification service providing server 100 may monitor a situation of providing a notification service for the selected target service. The notification service providing server 100 can monitor whether a threshold value for a situation in which a notification service is to be provided is exceeded in any target service.

For example, when the notification service providing server 100 selects the " 18 o'clock meeting " as the target service, which is 30 minutes away from the current location of the user who is relatively slow in moving time and arrives late at the appointed place each time, Since the alarm service is adapted to be provided relatively early, the notification service providing server 100 can provide the notification service at intervals of 10 minutes until the user departs when it is determined that the user has not departed before 17 o'clock .

Also, if the mobile service is relatively fast and the " 18 o'clock meeting " is 30 minutes away from the current position of the user arriving before the appointment time as the target service, the user model is adapted to provide the alarm service relatively late Therefore, the notification service providing server 100 can provide a notification service when the user determines that the user has not departed before 17:30.

The initial threshold value is determined through data mining, and the threshold value converges according to Equation (1) and Equation (2).

The notification service providing server 100 can update the situation of providing the notification service for each target service based on the user model. As the user model of the user terminal 110 is adapted, the threshold value can also be optimized for each user.

The notification service providing server 100 may provide the notification service to the user terminal. The notification service providing server 100 selects at least one of a plurality of notification methods including video, audio, message, and image according to a point of time of providing a notification service and a user model, Can be determined. The notification strength may include, for example, the size of the audio, the size of the message and the image, the brightness, the size of the character, and the like.

For example, the notification service providing server 100 can select at least one of a plurality of notification methods based on the user's current expected activity based on the current position of the user terminal 110, the user model, have.

For example, when the current user is determined to be in the meeting based on the user model, the notification service providing server 100 can provide the notification service only through a simple message. In addition, when it is determined that the user is currently moving from the outside, the notification service providing server 100 can provide a notification service through a message and audio, and output a message brightly. Alternatively, the audio sound may be outputted in a larger size.

One example of the user terminal 110 is a wireless communication device that is guaranteed to be portable and mobility. The user terminal 110 may be a personal communication system (PCS), a global system for mobile communications (GSM), a personal digital cellular (PDC) (Personal Digital Assistant), IMT (International Mobile Telecommunication) -2000, CDMA (Code Division Multiple Access) -2000, W-CDMA (W-CDMA), Wibro (Wireless Broadband Internet) , A smart pad, a tablet PC, and the like.

The user terminal 110 may transmit context data and location information to the notification service providing server 100.

The user terminal 110 can output a notification based on the notification service received from the notification service providing server 100. [

The notification service may include at least one of a plurality of notification methods based on the user's current expected activity based on the current location of the user terminal 110 and the user's model and may include the output intensity of the notification method.

The network 120 refers to a connection structure capable of exchanging information between nodes such as terminals and servers. An example of the network 120 includes the Internet, a wireless LAN (Wireless Local Area Network) , Wide Area Network (WAN), Personal Area Network (PAN), 3G, Long Term Evolution (LTE), Wireless Fidelity (WiFi), World Interoperability for Microwave Access (WiMAX), and Wireless Gigabit It does not.

2 is a block diagram of a notification service providing server according to an embodiment of the present invention. 2, the notification service providing server 100 includes a context data collecting unit 200, a location information collecting unit 210, a movement pattern analyzing unit 220, a user model generating unit 230, (240), a monitoring unit (250), and a notification service providing unit (260).

The context data collection unit 200 may periodically collect context data from the user terminal 110. [ The context data may include at least one of a user's personal information, e-mail, or schedule of the user terminal 110.

The context data collection unit 200 may extract at least one keyword from the context data. For example, the notification service providing server 100 may extract at least one keyword through a text mining method.

The context data collection unit 200 may classify the extracted at least one keyword by target service. The target service is a service provided by the notification service providing system 1 and may include a departure route, a return route, a scheduled arrival time, a restaurant, a coupon, weather, news of interest, and the like.

The context data collection unit 200 may classify the extracted at least one keyword for each target service and match the additional information for each target service. For example, in the case of a target service related to a schedule, the context data collection unit 200 may match and classify additional information such as place, time limit, and time by schedule.

Also, for a weather-related target service, the weather for one or more locations and times can be categorized considering the user's user model. For example, the first weather service may be weather of the user's residence, and may include time information that the user is active in the residence based on the user's model. Also, the second weather service may include weather information of the location of the user of the user based on the user model, and the time information that the user is working in the company.

Also, in the case of the target service related to watching TV, the user can be classified into categories according to the user's model. For example, the TV viewing service may include a sports category and a competition time for each event. Also, the TV viewing service may include viewing time of each TV program as an entertainment category.

The context data collection unit 200 may store each of the classified target services according to a predetermined template. Templates can be different for each target service. For example, a template of a target service related to a schedule may include a schedule name, a place, a time limit, a time, and the like. In addition, the weather related template may include location, time information, and the like. Further, the template related to the TV viewing may include category, time information, and the like.

This will be described in detail with reference to FIG. 3 for a while. 3 is a diagram illustrating a method of storing each target service according to a preset template according to an embodiment of the present invention.

Referring to FIG. 3, the notification service providing server 100 may collect the mail 300 of May 27th. The notification service providing server 100 may extract at least one keyword from the mail 300 of May 27. Also, the notification service providing server 100 may classify the extracted at least one keyword by the target service. For example, UPS company 310, June 5 through June 10, 320 among the at least one keyword extracted from mail service 300 dated May 27, and multi-tap purchase 330 ), June 1 (340), and Gangnam Station Alpha Stationery Store (350) can be classified as one target service.

The service providing server 100 may store each of the classified target services according to a preset template 360. [ For example, the service providing server 100 may be connected to the UPS construction 310, June 5 to June 10, 320, multi-tap purchase 330, June 1, 340, Can be stored in the preset template 360.

Returning to FIG. 2, the context data collection unit 200 may update the stored target service according to a preset template based on the context data periodically collected. For example, in the template, "Company Year-end Party", "Gangnam Station", "December 22" were stored in the template as the target service related to the schedule based on the context data of the user terminal, December 29 ", the context data collecting unit 200 recognizes that the company year-end meeting schedule is changed to December 29, and automatically stores the previously stored template in the" company year-end party " , "Gangnam Station", and "December 29".

In addition, based on the context data of the user terminal, "Infinite Challenge 232 times", "December 20", "18:30" was stored in the template as a target service related to watching TV, The context data collecting unit 200 recognizes that the user can not view 232 times of the infinite challenge at the time of collecting the text message data, Can be updated to "232 rebroadcasts of Infinite Challenge", "December 22", and "13:30".

The location information collecting unit 210 may periodically receive the location information from the user terminal 110.

The movement pattern analyzer 220 may periodically analyze the movement pattern of the user terminal 110 based on the position information periodically collected from the user terminal 110. [ The movement pattern may include at least one of a movement location, a movement route, a departure time, an arrival time, and a residence time for each movement place, as a movement pattern for each day of the user terminal 110.

For example, the location information collecting unit 210 may collect the location information from the user terminal 110, such as " 9 o'clock on weekdays ", " 18 o'clock on weekdays ", and 9 o'clock on weekdays, Activity "," using the subway to leave ", and" activity in Noryangjin from 9 to 11 on weekends ".

The user model generation unit 240 can generate a user model based on the movement pattern. The user model generating unit 240 may receive the subscription information of the user terminal 110 from the user terminal 110 and may generate the user model based on the subscription information.

The user model generated based on the subscription information may be a basic user model. For example, the user model generation unit 240 can acquire information on the user's gender, residence, workplace, family relationship, and the like through the subscription information to generate a basic user model.

The user model generation unit 240 can generate a basic user model based on web data or pre-stored data corresponding to the subscription information.

The user model generation unit 240 may transmit a query message related to the movement pattern to the user terminal 110. [ In addition, feedback of a query message can be received from the user terminal 110 and the user model can be adapted based on the feedback.

For example, when the user operates at a specific position from 9:00 to 18:00 on weekdays, the user model generation unit 240 may transmit a query message to the user terminal 110 to determine whether the corresponding position corresponds to a job. The user model generation unit 240 may receive the feedback on the query message from the user terminal 110 and adapt the basic user model.

The user model generating unit 240 not only adapts the basic user model through feedback on a query message and a query message but also performs a movement pattern and a reasoning process based on the position information and the position information of the user terminal 110 periodically collecting You can also adapt the user model automatically. For example, when the user is active at a specific position from 9:00 to 18:00 on weekdays, the user model generation unit 240 can automatically adapt the user model to correspond to the workplace.

In addition, the user model generation unit 240 may analyze the user's tendency based on the movement pattern of the user terminal 110 to adapt the user model. The user model generation unit 240 can determine the user's tendency by analyzing the arrival time, the movement route, the movement time, and the like of the appointment place of the user.

For example, if the user's movement time is relatively slow and arrives late at the appointed place each time, the user model generation unit 240 can determine that the alarm service should be provided relatively early. Also, if the user's movement time is relatively fast and arrives before the appointment time, the user model generation unit 240 can determine that the alarm service should be provided relatively late.

Although only the adaptation of the user model in relation to the schedule has been described in the above-described embodiment, the user model can be adapted to various target services. For example, the user model generation unit 240 may analyze the time when the user of the user terminal 110 checks the weather, and may adapt the user model to provide weather information before that.

By adapting the user model, more accurate customized alarm service can be provided over time.

The target service selection unit 250 can select the target service based on the context data. The target service is a service provided by the notification service providing system 1 and may include a departure route, a return route, a scheduled arrival time, a restaurant, a coupon, weather, news of interest, and the like.

The target service selection unit 250 can select a target service by using a database for estimating meaning such as semantics and ontology. For example, when the location of the user terminal 110 is used in selecting a target service, the location of the user terminal 110 and the vicinity of the location can be used comprehensively.

The monitoring unit 260 may monitor the status of providing the notification service for the selected target service. The monitoring unit 260 may monitor whether a threshold value for a situation in which a notification service is to be provided is exceeded for a target service.

For example, if the target service selection unit 240 selects a " 18 o'clock meeting " as the target service, which is 30 minutes away from the current location of the user, whose travel time is relatively slow and arrives late at the appointed place each time, Since the alarm service is adapted to be provided relatively early, the monitoring unit 260 can monitor whether the user departs before 17:00. If the user has not departed by 17:00, the notification service providing server 100 may provide a notification service at intervals of 10 minutes until the user departs.

Also, when the target service selection unit 240 selects the " 18 o'clock meeting " as the target service, which is 30 minutes away from the current position of the user arriving before the appointment time, the travel time is comparatively fast, Since it is adapted to be provided relatively late, the monitoring unit 260 can monitor whether the user departs before 17:30. If it is determined that the user has not departed before 17:30, the notification service providing server 100 may provide a notification service at 17:30.

The initial threshold value is determined through data mining, and the threshold value converges according to Equation (3) and Equation (4).

The monitoring unit 260 can update the status of providing the notification service for each target service based on the user model. As the user model of the user terminal 110 is adapted, the threshold value can also be optimized for each user.

The notifying service providing unit 270 may provide the notifying service to the user terminal 100. The notification service providing unit 270 selects at least one of a plurality of notification methods including video, audio, messages, and images according to a point of time of providing a notification service and a user model, Can be determined. The notification strength may include, for example, the size of the audio, the size of the message and the image, the brightness, the size of the character, and the like.

For example, the notification service provider 270 may select at least one of a plurality of notification methods based on the current location of the user terminal 110, the user's current activity based on the user's model, etc., have.

For example, when the current user is determined to be in the meeting based on the user model, the notification service provider 270 can provide the notification service only through a simple message. In addition, when it is determined that the user is currently moving from the outside, the notification service provider 270 can provide a notification service through a message and audio, and output a message brightly. Alternatively, the audio sound may be outputted in a larger size.

4 is a flowchart illustrating an embodiment of providing a notification service of the present invention. Referring to FIG. 4, in step S400, the alarm service providing server 100 can select a target service moving from the Gangnam station to Gwanghwamun through the subway from the context data by 3:00.

In step S410, the alarm service providing server 100 collects the location information of the user terminal 110 and can recognize that the user is in the couting area at 2:30 pm.

In step S420, the alarm service providing server 100 collects the location information of the user terminal 110, and can recognize that the user is in the couting area at 2:50 PM.

In step S430, the alarm service providing server 100 may monitor a situation of providing a notification service for the target service based on the user model.

The alarm service providing server 100 may provide the notification service to the user terminal 110 in step S440.

5 is a diagram illustrating another embodiment of providing a notification service of the present invention. Referring to FIG. 5, in step S500, the alarm service providing server 100 can select a target service moving from the Gangnam station to Gwanghwamun through the subway from the context data by 3:00.

In step S510, the alarm service providing server 100 collects the location information of the user terminal 110 and can recognize that the user is in the yama station at 2:30 pm.

In step S520, the alarm service providing server 100 collects the location information of the user terminal 110 and can recognize that the user is in the chungmul road at 2:40 PM.

In step S530, the alarm service providing server 100 may provide the user terminal 110 that the user may be late to the meeting because the user is moving a little late.

In step S540, the alarm service providing server 100 may collect the location information of the user terminal 110 and determine that the user is still moving late.

In step S550, the alarm service providing server 100 may provide a notification service to the user terminal 110 to change the moving means to a taxi.

6 is a flowchart illustrating a notification service providing method according to an embodiment of the present invention. The method of providing a notification service according to an embodiment shown in FIG. 6 includes steps that are processed in a time-series manner in the system shown in FIG. Therefore, even the contents omitted here are applied to the notification service providing method performed according to the embodiment shown in FIG.

In step S600, the notification service providing server may periodically collect context data from the user terminal.

In step S610, the notification service providing server may periodically receive location information from the user terminal.

In step S620, the notification service providing server may periodically analyze the movement pattern of the user terminal based on the location information.

In step S630, the notification service providing server can generate a user model based on the analyzed movement pattern.

In step S640, the notification service providing server can select the target service based on the context data.

In step S650, the notification service providing server may monitor a situation of providing a notification service for the target service and determine whether the notification service is provided for the target service.

In step S660, the notification service providing server may provide the notification service to the user terminal.

7 is a flowchart illustrating a method of generating a user model according to an embodiment of the present invention.

In step S700, the notification service providing server may receive the subscription information of the user terminal from the user terminal.

In step S710, the notification service providing server can generate the user model based on the subscription information.

In step S720, the notification service providing server may transmit a query message related to the movement pattern to the user terminal.

In step S730, the notification service providing server may receive feedback on the inquiry message from the user terminal.

In step S740, the notification service providing server may adapt the user model based on the feedback.

The notification service providing method and the method for generating the user model described with reference to Figs. 6 and 7 may be implemented in the form of a computer program stored in a medium, or may include instructions executable by a computer such as a program module executed by a computer But may also be embodied in the form of a recording medium. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium can include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

1: Notification service delivery system
100: Notification service providing server
110: User terminal
120: Network

Claims (17)

A method of providing an adaptive user model based notification service,
Periodically collecting context data from a user terminal;
Periodically receiving location information from the user terminal;
Periodically analyzing a movement pattern of the user terminal based on the position information;
Generating a user model based on the analyzed movement pattern;
Selecting a target service based on the context data;
Monitoring a status of providing a notification service for the target service; And
Providing the notification service to the user terminal
The notification service providing method comprising:
The method according to claim 1,
Wherein the context data includes at least one of personal information, email, and schedule of a user of the user terminal.
The method according to claim 1,
The step of periodically collecting the context data
Extracting at least one keyword from the context data;
Classifying the extracted at least one keyword by the target service; And
Storing each of the classified target services according to a predetermined template
The notification service providing method comprising:
The method of claim 3,
The step of storing each of the classified target services according to a preset template
Updating the target service stored in accordance with the predetermined template based on the periodically collected context data
The notification service providing method comprising:
The method according to claim 1,
Wherein the movement pattern of the user terminal is a movement pattern of the user terminal according to a day of the week,
A moving route, a moving route, a departure time, an arrival time, and a stay time for each moving place.
The method according to claim 1,
The step of generating the user model
Receiving subscription information of the user terminal from the user terminal;
Generating the user model based on the subscription information;
Transmitting a query message related to the movement pattern to the user terminal;
Receiving feedback on the query message from the user terminal;
Adapting the user model based on the feedback;
The notification service providing method comprising:
The method according to claim 1,
The step of monitoring the situation of providing the notification service
Updating a status of providing a notification service for each target service based on the user model;
The notification service providing method comprising:
The method according to claim 1,
The step of providing the notification service
Selecting at least one of a plurality of notification methods including video, audio, messages, and images; And
Determining an output intensity of each of the at least one notification method selected
Lt; / RTI >
Wherein the notification method and the output intensity are determined according to the time of providing the notification service and the user model.
An adaptive user model based notification service providing server,
A context data collection unit for periodically collecting context data from a user terminal;
A position information receiver for periodically receiving position information from the user terminal;
A movement pattern analyzer for periodically analyzing a movement pattern of the user terminal based on the position information;
A user model generation unit for generating a user model based on the analyzed movement pattern;
A target service selection unit for selecting a target service based on the context data;
A monitoring unit monitoring a status of providing a notification service for the target service;
A notification service providing unit for providing the notification service to the user terminal;
And a notification service providing server.
10. The method of claim 9,
Wherein the context data includes at least one of personal information, email, and schedule of the user.
10. The method of claim 9,
The context data collection unit
Extracting at least one keyword from the context data,
Classifying the extracted at least one keyword by the target service,
And stores each of the classified target services according to a predetermined template.
12. The method of claim 11,
Wherein the context data collector updates the target service stored according to the preset template based on the context data periodically collected.
10. The method of claim 9,
Wherein the movement pattern of the user terminal is a movement pattern of the user terminal according to a day of the week,
A moving route, a moving route, a departure time, an arrival time, and a stay time for each moving place.
10. The method of claim 9,
The user model generation unit
Receiving subscription information of the user terminal from the user terminal,
Generates a user model based on the subscription information,
Transmitting a query message related to the movement pattern to the user terminal,
Receiving feedback on the query message from the user terminal,
And adapts the user model based on the feedback.
10. The method of claim 9,
The monitoring department
Periodically updating a state of providing a notification service for each target service based on the analyzed movement pattern,
And monitors a status of providing a notification service for the target service based on a status of providing the updated notification service for each target service.
10. The method of claim 9,
The notification service providing unit
Selecting at least one of a plurality of notification methods including video, audio, messages, and images,
Determining an output intensity of each of the at least one notification method selected;
Wherein the notification method and the output intensity are determined according to the time of providing the notification service and the user model.
An adaptive user model based notification service providing system,
A notification service providing server; And
User terminal
/ RTI >
The notification service providing server
Periodically analyzing a movement pattern of the user terminal based on position information received from the user terminal,
Generating a user model based on the analyzed movement pattern,
Selects a target service based on the context data received from the user terminal,
Monitoring a situation of providing a notification service for the target service,
Providing the notification service to the user terminal,
The user terminal comprises:
Transmits context data and location information to the notification service providing server,
And outputs a notification based on the notification service received from the notification service providing server.

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