KR20200026391A - Method for providing recommend service and apparatus therefor - Google Patents

Abstract

The present invention relates to a method for providing a recommended service, which classifies a plurality of unregistered users sharing one user ID or one user device and provides a personalized recommended service; and an apparatus therefor. A service providing server providing the recommended service collects user context information and terminal context information, respectively, in relation to a user using the service; classifies and stores the user context information based on user characteristic information extracted from the terminal context information; collects the terminal context information from a user device when receiving a service request from the user device; analyzes the collected terminal context information to extract the user characteristic information for the user requesting the service; selects the user context information matched with the user characteristic information for the user requesting the service among the stored user context information related to the user device; and then provides the requested service according to the selected user context information.

Description

Method for providing recommendation service and apparatus therefor {Method for providing recommend service and apparatus therefor}

The present invention relates to a technology for providing recommendation services that recommends to a user by extracting goods or information that the user may be interested in or need. More specifically, a plurality of non-registered services that share a single user ID or user device are used. A method and apparatus for providing a personalized recommendation service by dividing users are provided.

Due to the improvement of device performance of the user terminal and the development of information and communication technology, the use of online services based on the network is becoming more common, and the amount of information provided through the online services is increasing exponentially. The information provided through the online service is very diverse, for example, information of products traded through electronic commerce, digital content, academic information, and the like.

Among such various information, in particular, the information of products traded through e-commerce, the number of online shopping malls that provide them is very large, and also in each online shopping mall, depending on the type of goods, depending on the seller, according to the buyer, depending on the time of sale Therefore, since the price or product configuration is different, it is difficult for the user to properly receive or find the information he / she wants.

The recommendation service is to guess the information (product) that the user is interested in or need, and recommend related information to the user. The user can receive the information (product) that he or she is interested in without any effort. This service can reduce inconvenience.

In such a recommendation service, recommendation information provided to a user is usually extracted based on the user's context. Here, the context refers to information defining characteristics of a situation such as a person, a place, an object, an object, and a time that affects the interaction between the user and another user, system, or application of the device. , Communication bandwidth, and computing contexts such as printers, displays, and workstations, user contexts, including user profiles, locations, and people around you, physical contexts such as lighting, noise levels, traffic conditions, and temperatures. There are time contexts such as physical context, time, week, month and season.

The recommendation service extracts user-specific recommendation information by using user context information (user context) among the context information.

For example, in the case of an online shopping mall, after analyzing a user's interest or preference using information such as a user's purchase history, a shopping cart or wish list information containing a product of interest, and a search history, The recommendation information is extracted accordingly.

However, in the case of an online shopping mall, family members often use a single ID together. In this case, since the purchase history of each family member is collected as one person's purchase history, the collected user context information There is a problem that the accuracy of the recommendation information generated based on it is lowered, thereby lowering the user's satisfaction.

Registered Korean Patent No. 10-0608645, registered on July 27, 2006 (Name: Apparatus and method for providing recommended content in real time)

The present invention has been proposed to improve user satisfaction and reliability of a recommendation service, and an object thereof is to provide a personalized recommendation service by distinguishing a plurality of non-registered users using a single user ID or a user device. To provide a method and apparatus therefor.

As a solution to the above problem, it provides a recommendation service providing method for providing user-specific recommendation information.

In the method of providing a recommendation service according to an exemplary embodiment of the present invention, a service providing server that provides a recommendation service collects user context information and terminal context information respectively with respect to a user who uses the service, and extracts the user context information from the user context information. Storing the user context information based on feature information; Receiving a service request from a user device; Collecting terminal context information from the user device; Analyzing the collected terminal context information and extracting user characteristic information on the user who requested the service; Selecting user context information matched with user characteristic information on the user who requested the service among prestored user context information associated with the user device; And providing the requested service according to the selected user context information.

In the method of providing a recommendation service according to the present invention, the storing may include: collecting user context information related to service use for each user based on device identification information or user identification information of a user device; Collecting terminal context information associated with a user using a service from the user device; Extracting user feature information by analyzing the terminal context information; Matching the extracted user characteristic information to the collected user context information in consideration of device identification information or user identification information of a user device and a service usage time.

In addition, according to another aspect of the present invention, the present invention collects user context information and terminal context information with respect to a user who uses a service, and based on the user feature information extracted from the terminal context information, the user context information. A storage module for storing the classification; A communication module for transmitting and receiving data with the user device; Upon receiving the service request from the user device, the terminal context information is collected and analyzed from the user device to extract user feature information on the user who requested the service, and the user who requested the service from the user context information stored in the storage module. It provides a service providing server including a control module for providing the requested service using only the user context information matched with the user characteristic information for.

In the service providing server according to the present invention, the control module collects user context information related to service use for each user based on the device identification information or the user identification information of the user device, and the user who uses the service from the user device. After collecting the relevant terminal context information, the terminal context information is analyzed to extract user feature information, and in consideration of device identification information, user identification information and service usage time of the user device, the collected user context information is respectively added. And an information management module for matching the extracted user characteristic information.

The control module may further include a service providing module configured to provide a requested service based on user context information when a service request is received from a user device. The information management module may provide a service in response to the service request. The user feature information is extracted from the terminal context information collected from the requested user device, and the user context information matched with the user feature information or the user feature information is provided to the service providing module.

In the present invention, the user context information is web usage information collected using cookie information generated in a web browser, and the terminal context information includes one or more of video, audio, and motion information related to a user. The user feature information includes one or more of facial feature information, phonetic feature information, and movement pattern.

The present invention provides recommendation information based on user context information collected for each user ID, using the user context information collected on the same user ID using terminal context information for extracting a feature of a user using the user device. After classifying, by checking the user currently in use and providing a recommendation service using only the user context information, a more accurate recommendation service can be provided, and in particular, a plurality of unregistered users sharing the same user device or the same user ID. There is also an excellent effect to provide a personalized service to the user of.

1 is a diagram illustrating a recommendation service providing system according to an exemplary embodiment of the present invention.
2 is a block diagram showing the configuration of a service providing server for a recommended service according to the present invention.
3 is a block diagram showing the configuration of a user device for a recommendation service according to the present invention.
4 is a flowchart illustrating a recommendation service providing method according to an exemplary embodiment.
5 is a flowchart illustrating a recommendation service providing method according to another exemplary embodiment.
6 is a diagram illustrating a user context information management table according to the present invention.
7 is an exemplary view showing an example of providing a recommended service according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS To make the features and advantages of the present invention more clear, the present invention will be described in more detail with reference to specific embodiments shown in the accompanying drawings.

However, in the following description and the accompanying drawings, detailed descriptions of well-known functions or configurations that may obscure the subject matter of the present invention will be omitted. In addition, it should be noted that like elements are denoted by the same reference numerals as much as possible throughout the drawings.

The terms or words used in the following description and drawings should not be construed as being limited to the common or dictionary meanings, and the inventors may appropriately define the concept of terms for describing their own invention in the best way. It should be interpreted as meanings and concepts corresponding to the technical idea of the present invention based on the principle that the present invention. Therefore, the embodiments described in the specification and the drawings shown in the drawings are only the most preferred embodiments of the present invention, and do not represent all of the technical idea of the present invention, various modifications that can be substituted for them at the time of the present application It should be understood that there may be equivalents and variations.

In addition, terms including ordinal numbers, such as first and second, are used to describe various components, and are used only to distinguish one component from another component, and to limit the components. Not used. For example, without departing from the scope of the present invention, the second component may be referred to as the first component, and similarly, the first component may also be referred to as the second component.

In addition, when a component is referred to as being "connected" or "connected" to another component, it means that it may be connected or connected logically or physically. In other words, although a component may be directly connected or connected to other components, it should be understood that other components may exist in the middle and may be connected or connected indirectly.

In addition, the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In addition, the terms "comprises" or "having" described herein are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and one or the same. It is to be understood that the present invention does not exclude in advance the possibility of the presence or the addition of other features, numbers, steps, operations, components, parts, or a combination thereof.

In addition, the terms "~", "~", "module", etc. described in the specification mean a unit for processing at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software. have.

In addition, "a" or "an", "one", "the" and the like shall also be indicated otherwise in the context of the present invention (particularly in the context of the following claims). Unless otherwise expressly contradicted by context, it may be used in the sense including both singular and plural.

In addition, embodiments within the scope of the present invention include computer readable media having or conveying computer executable instructions or data structures stored on computer readable media. Such computer readable media can be any available media that can be accessed by a general purpose or special purpose computer system. By way of example, such computer readable media may be in the form of RAM, ROM, EPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage, or computer executable instructions, computer readable instructions or data structures. And may include, but are not limited to, any other medium that can be used to store or deliver certain program code means, and can be accessed by a general purpose or special purpose computer system. .

In the following description and claims, “network” is defined as one or more data links that enable the transfer of electronic data between computer systems and / or modules. When information is transmitted or provided to a computer system via a network or other (wired, wireless, or a combination of wired or wireless) communication connections, this connection can be understood as a computer-readable medium. Computer-readable instructions include, for example, instructions and data that cause a general purpose or special purpose computer system to perform a particular function or group of functions. The computer executable instructions may be, for example, binary, intermediate format instructions such as assembly language, or even source code.

In addition, the present invention relates to personal computers, laptop computers, handheld devices, multiprocessor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, mobile phones, PDAs, pagers In a network computing environment having various types of computer system configurations including pagers, etc., the present invention may be applied to provide an image retrieval service to the computer systems. The invention may also be practiced in distributed system environments where both local and remote computer systems that are linked via wired networks, wireless data links, or combinations of wired and wireless data links perform tasks. In a distributed system environment, program modules may be located in both local and remote memory storage devices.

First, a recommended service system according to an embodiment of the present invention will be described.

1 is a diagram illustrating a recommendation service providing system according to an exemplary embodiment of the present invention.

Referring to FIG. 1, the recommended service providing system includes a service providing server 100 and a user device 200 connected through a network NW.

The service providing server 100 and the user device 200 may interwork by transmitting and receiving data with each other through a network NW. For example, the network NW may include a wireless communication network such as a wireless local area network (WLAN), Wi-Fi, Wibro, Wimax, and High Speed Downlink Packet Access (HSDPA). Depending on how the system is implemented, it may also include wired communication networks such as Ethernet, xDSL (ADSL, VDSL), Hybrid Fiber Coaxial Cable (HFC), Fiber to The Curb (FTTC), and Fiber To The Home (FTTH).

In addition, the network (NW) used in the present invention may include a mobile communication network consisting of a plurality of access networks (not shown) and a core network (not shown) connecting them. Here, the access network is a network that performs wireless communication by directly connecting to a terminal, for example, a plurality of base stations such as a base station (BS), a base transceiver station (BTS), a NodeB, an eNodeB, and a base station controller (BSC). It may be implemented as a base station controller such as a Radio Network Controller (RNC). In addition, as described above, the digital signal processing unit and the wireless signal processing unit, which are integrally implemented in the base station, are divided into digital units (hereinafter referred to as DUs and radio units (hereinafter referred to as RUs)). In addition, a plurality of RUs (not shown) may be installed in each of the areas, and a plurality of RUs may be connected to a centralized DU, and a core network (not shown) constituting a mobile network together with an access network may be connected to an external network. It serves to connect networks, for example other communication networks, such as the Internet.

As described above, the core network is a network system that performs main functions for mobile communication services such as mobility control and switching between access networks, and performs circuit switching or packet switching, and performs mobile network. Manage and control the flow of packets within In addition, the core network may manage inter-frequency mobility and may play a role for interworking with traffic in the access network and the core network and other networks such as the Internet network. The core network may further include a serving gateway (SGW), a PDN gateway (PGW), a mobile switching center (MSC), a home location register (HLR), a mobile mobility entity (MME), and a home subscriber server (HSS). It may be.

In addition, the network NW according to the present invention may include an internet network. The Internet network refers to a common public communication network, that is, a public network, through which information is exchanged according to the TCP / IP protocol.

Through the network NW, the service providing server 100 and the user device 200 interoperate with each other to configure a recommended service providing system according to the present invention.

In such a system configuration, the service providing server 100 provides a predetermined service to the user device 200 in response to a request from the user device 200 requesting the service. The service provided at this time includes a personalization service that varies the service contents according to the propensity of each user. As a representative personalization service, user-specific recommendation information is generated and provided to the user device 200 of the corresponding user. To this end, the service providing server 100 collects and stores various user context information about a user using a service.

As described above, the user context information is information for defining characteristics of a situation, such as a person, a place, a thing, an object, and a time, which affects interaction between a user and an application of another user, system, or device. In the present invention, the user context information used for generating the recommendation information is preferably information that the service providing server 100 can collect through the user device 200 or another server device. Representatively, the web usage information of the user through the user device 100 may be used. The web usage information may be collected through a browser and then classified or identified for each user by using a cookie (Coolie). The web usage information includes information of sites and / or pages accessed by the user. The service providing server 100 extracts an interest field (or category) of the user based on the collected user context information, generates recommendation information related to the extracted interest field of the user, and provides the extracted information to the user device 200. do.

Here, the recommendation information may be, for example, product information, advertisement information, or digital content information sold in an online shopping mall. More specifically, the user has a history or purchase history based on the user's past history. It might be something related to something. In addition, the recommendation information may include one or more recommendation items such as product information, advertisement information, and digital content information, and the recommendation items may be arranged or output in a priority order according to a user's preference.

In addition, the recommendation information is transmitted to the user device 200 in various ways, for example, a push method for unilaterally transmitting information without a user's request, and transmits the information according to a request from the user device 200. Can be provided in a pull manner.

In addition, while receiving the service, the user device 200 collects the terminal context information and provides it to the service providing server 100. Here, the terminal context information is information for extracting feature information of a user currently using the user apparatus 200. For example, an image of a user photographed by a camera and a microphone are collected and predetermined processing is performed. It can be a voice signal. In addition, the terminal context information may be one or more of motion information measured by one or more sensors.

As described above, the service providing server 100 collects user context information that can be used to know the user's disposition while using the service, and collects and stores terminal context information that can extract feature information of the user. The user context information and the terminal context information are managed to match each other on the basis of the collection time.

In addition, the service providing server 100 analyzes the collected terminal context information to display unique feature information unique to each user, for example, feature information of a face, acoustic feature information such as a tone of a voice, a pattern, and the like. Gesture information such as intrinsic or habitual behavior is extracted.

The service providing server 100 classifies and recognizes user context information as different users using the feature information of the user, and when the personalization service is provided later, identifies and responds to the feature information of the user who is provided with the service. User context information is extracted and used for personalization service.

The service providing server 100 operating as described above is an entity connected to the network NW, and may be implemented as a web server, a database server, and an application server. Can be. According to an exemplary embodiment, the service providing server 100 may be a server supporting a portal site including a search engine, and may be an online shopping mall server supporting electronic commerce.

The user device 200 will be described as a representative example of a mobile communication terminal, but the terminal is not limited to a mobile communication terminal, and various terminals such as all information communication devices, multimedia terminals, wired terminals, fixed terminals, and IP (Internet Protocol) terminals. Can be applied to For example, the terminal may be a mobile device having various mobile communication specifications such as a mobile phone, a portable multi-media player (PMP), a mobile internet device (MID), a smart phone, a tablet PC, a tablet PC, and an information communication device. Mobile) terminal can be advantageously utilized. As another example, the terminal may be a notebook, a personal computer, or the like.

Next, a detailed configuration of the above-described service providing server 100 and the user device 200 will be described.

First, the configuration of the service providing server 100 according to an exemplary embodiment of the present invention will be described with reference to FIG. 2.

2 shows a configuration of a service providing server for a recommendation service according to the present invention.

Referring to FIG. 2, the service providing server 100 includes a communication module 110, a storage module 120, and a control module 130.

The communication module 110 is for communication with the user device 200. The communication module 110 connects to the network NW and exchanges data including necessary information with the user device 200 when the user device 200 connects to the service providing server 100 through the network NW. Perform communication to When the communication module 110 receives data for transmission from the control module 130 to the user device 200, for example, recommendation information including one or more recommendation items, the communication module 110 configures the packet into transmissions. In addition, the communication module 110 extracts data, that is, user context information and terminal context information from the packet received from the user device 200, and transmits the data to the control module 130.

The storage module 120 stores a program and data necessary for the operation of the service providing server 100 and may be divided into a program area and a data area. The program area may store a program for controlling the overall operation of the service providing server 100, an operating system (OS) for booting the service providing server 100, an application for image retrieval, and the like. The data area is an area in which data generated according to the operation of the service providing server 100 and data necessary for the operation of the service providing server 100 are stored. For example, the storage module 120 stores user context information by dividing each user, and also stores recommended information generated based on the user context information. Various data stored in the storage module 120 may be deleted, changed, or added according to a user's manipulation.

The control module 130 may control an overall operation of the service providing server 100 and a signal flow between internal blocks of the service providing server 100 and may perform a data processing function for processing data. The control module 130 is preferably a microprocessor or a central processing unit (CPU). The control module 130 includes a recommendation service module 131 and an information management module 133 when classified according to its function. The recommendation service module 131 is a component for providing recommendation information to the user device 200, and the information management module 133 is a component for classifying and managing user context information using a service for each user.

In detail, the recommendation service module 131 generates recommendation information including one or more recommendation items extracted based on user context information and provides them to the user device 200 of each user. Providing the recommendation information may be performed periodically or at the request of the user regardless of the user request. The service providing server 100 may provide other service functions in addition to the recommendation service. For example, the service providing server 100 may include an e-commerce service and a search service.

The feedback processing module 133 collects and manages the user context information. In particular, the feedback processing module 133 collects terminal context information from the user device 200 while providing a service and extracts the user context information from the collected terminal context information. The user context information is classified and classified based on feature information. In addition, the recommended service module 131 extracts and provides user context information matched with feature information of a user currently using the user device 200. In this regard, the recommendation service module 131 may provide a recommendation service suitable for a user's propensity to actually use the user device 200.

Next, a detailed configuration of the user device 200 according to an embodiment of the present invention will be described.

3 is a block diagram showing the configuration of a user device for a recommendation service according to the present invention.

Referring to FIG. 3, the user device 200 according to an exemplary embodiment of the present invention may include a communication unit 210, an input unit 220, a display unit 230, a storage unit 240, a control unit 250, and a camera unit 260. The sensor unit 270 and the audio processor 280 are included.

The communication unit 210 is for communication with other devices including the service providing server 100 and performs communication through various communication connection methods. The communication unit 210 may communicate by selecting any one of various communication connection type communication functions. The communication unit 210 may be implemented by one module or a plurality of modules. For example, the communication unit 210 according to the WCDMA, LTE, LTE-A, etc. according to the broadband mobile communication method to access the network through the base station, according to the Wireless Local Area Network (WLAN) method using Wi-Fi (wireless fidelity) A wireless near field communication method for accessing a network through an access point (AP) and performing communication may be used. The communication unit 210 may include an RF transmitter for up-converting and amplifying a frequency of a transmitted signal, and an RF receiver for low noise amplifying and down-converting a received signal. Through such a configuration, the communication unit 210 may convert data received from the control unit 250, for example, a user request or terminal context information, into a wireless signal and transmit it through a wireless channel. In addition, the communication unit 210 may receive a wireless signal including data, for example, recommendation information through a wireless channel, and transmit the received wireless signal to the control unit 250.

The input unit 220 receives a key operation of a user for controlling the user device 200, generates an input signal, and transmits the generated input signal to the controller 250. The input unit 220 may include any one of a power key, a numeric key, and a direction key for power on / off, and may be formed as a predetermined function key on one surface of the user device 200. When the display unit 230 is formed of a touch screen, functions of various keys of the input unit 220 may be performed in the display unit 230. When the display unit 230 may perform all functions using only the touch screen, the input unit 220 may be omitted. It may be.

The display unit 230 visually provides a menu, input data, function setting information, and various other information of the user device 200 to the user. The display unit 230 outputs various screens such as a boot screen, a standby screen, and a menu screen of the user device 200. The display unit 230 may be formed of a liquid crystal display (LCD), organic light emitting diodes (OLEDs), active matrix organic light emitting diodes (AMOLEDs), and the like. Meanwhile, the display unit 230 may be implemented as a touch screen. In this case, the display unit 230 may include a touch sensor, and the controller 250 may detect a user's touch input through the touch sensor. The touch sensor may be configured as a touch sensor such as capacitive overlay, pressure, resistive overlay, infrared beam, or a pressure sensor. . In addition to the above sensors, all kinds of sensor devices capable of detecting contact or pressure of an object may be used as the touch sensor of the present invention. The touch sensor detects a user's touch input, generates a detection signal, and transmits the detected signal to the controller 250. The sensing signal may include coordinate data input by the user. When the user inputs the touch position movement operation, the touch sensor may generate a detection signal including coordinate data of the touch position movement path and transmit the detected signal to the controller 250.

The storage unit 240 stores a program and data necessary for the operation of the user device 200, and may be divided into a program area and a data area. The program area may store a program for controlling the overall operation of the user device 200, an operating system (OS) for booting the user device 200, an application program, and the like. The data area is an area in which data generated according to the use of the user device 200 is stored. In addition, the storage unit 240 may store various data generated according to the operation of the user device 200.

The controller 250 may control an overall operation of the user device 200, a signal flow between internal blocks of the user device 200, and may perform a data processing function of processing data. The controller 250 may be a central processing unit (CPU), an application processor, a graphic processor (GPU), or the like. The control unit 250 controls the communication unit 210 according to a user input signal transmitted from the input unit 220 to access the service providing server 100, and then provides a predetermined value to the user through interworking with the service providing server 100. Provide service.

The controller 250 transmits a service request to the service providing server 100 through the communication unit 210 according to a user request input through the input unit 220. In response to the request, when the service data is received by the communication unit 210, the service data is processed to perform a predetermined function or output to the display unit 230.

The user device 200 according to the present invention may receive user customized recommendation information from the service providing server 100 through the communication unit 210. The recommendation information may be received in a push method or a pull method. In the pull mode, the control unit 250 of the user device 200 requests a service to the service providing server 100 through the communication unit 210 according to a user input signal transmitted from the input unit 220, and responds to the request. Receive recommended information. In this case, the service request may include address information (URL) of a specific web page.

When the recommendation information is received as described above, the controller 250 outputs the received recommendation information through the display unit 230.

On the other hand, whenever the control unit 250 of the user device 200 provides a service, the terminal context information that can specify the user using the service in real time collects and transmits to the service providing server 100.

In addition, in order to collect the terminal context information described above, the user device 200 may further include a camera unit 260, a sensor unit 270, and an audio processor 280.

The camera unit 260 is a means for capturing an image, and usually photographs a front image or a rear image of the user device 200. In the present invention, when the service screen is output, the controller 250 can take a picture of the user using the user device 200 through the camera unit 260, the controller 250 analyzes the image of the user, User characteristic information can be collected. More specifically, the feature information of a specific part of the user's body may be, for example, a face, an iris, or the like. Such specific body parts are known to have unique information for each user, and thus, may be distinguished between users.

The sensor unit 270 detects a physical change such as a direction, a position, a moving speed, a movement, an ambient brightness, and the like of the user device 100, and detects a gyroscope sensor and a direction / position for detecting a movement. Geomagnetic sensor for detecting, acceleration sensor for detecting the motion state, gravity sensor for detecting the direction of gravity, light sensor / illumination sensor for detecting the ambient light, proximity sensor for detecting the user's approach and the like. The sensor unit 270 detects movement patterns, behaviors, and gestures of the user habitually displayed while the service screen is displayed, thereby distinguishing between users.

In addition, the audio processing unit 280 is a component for processing a user's voice signal, including a speaker and a microphone, and outputs the voice signal as an audible sound through the speaker, collects the voice generated by the audible sound through the microphone to the electrical voice signal Convert to

The audio processor 280 may collect voices spoken by a user using the service, and may extract user feature information through voice analysis. In general, the sound of a human voice varies according to gender and age group. The present invention uses this feature, and does not recognize who the user is but is used to distinguish between a plurality of users.

The controller 250 which collects various terminal context information related to the user who uses the service through the above-described configuration transmits the collected terminal context information to the service providing server 100, and in response thereto, the service providing server 100. ) Can receive the recommendation information according to the user context information classified as a user using the service.

Next, the service providing process according to the present invention will be described in more detail with reference to FIGS. 4 and 5.

4 is a flowchart illustrating a process of managing user context information in a method of providing a recommendation service according to an embodiment of the present invention.

Referring to FIG. 4, the service providing server 100 according to the present invention provides a predetermined service to the user device 200. The services provided herein are online services such as, for example, e-commerce services, digital content sharing services, financial transaction services, and the like. Such a service is performed in a client-server interworking manner, and the service providing server 100 executes a command or request transmitted from the user device 200 to provide the execution screen to the user device 200. . In addition, the service includes a personalized service provided according to a user's disposition or interest.

While providing such a service, the service providing server 100 collects user context information related to service use of the user (S110). The collection of the user context information may be made by collecting and analyzing a cookie generated through a web browser. The collected user context information is based on identification information of the device, for example, user identification information such as MAC address, IP address, or user ID, and is used when another user borrows the device to use a service or user ID. It is not possible to distinguish the case of using the service.

To this end, the service providing server 100 collects the terminal context information from the user device 200 while the service is provided (S115). As described above, the terminal context information is information capable of extracting the user's characteristics, and preferably, the image and / or audio processor 280 of the user captured by the camera unit 260 of the user device 200. It includes the voice of the user collected through. In addition, the terminal context information may further include motion information by the user's operation collected through the sensor unit 270. The movement information includes a position change, a state change, a speed, and the like of the user device 200.

Steps S110 and S115 are performed independently of each other, but may be performed at substantially the same time.

In addition, the service providing server 100 analyzes the collected terminal context information and extracts feature information of a user using the user device 200 (S120). The user feature information may include one or more of phonetic feature information, imaging feature information, and movement pattern information.

The service providing server 100 matches and stores the user characteristic information with the user context information collected in step S110 (S125). In detail, in operation S125, the service providing server 100 matches the user characteristic information corresponding to the user context information in consideration of the device identification information or the user identification information of the user device and the service usage time.

Accordingly, by classifying user context information based on the user characteristic information, the user characteristic information may correspond to each of a plurality of users using the user device 200, and thus, the plurality of user context information may be used for the plurality of users using the user device 200. This means that you can sort by user.

5 is a flowchart illustrating a service providing process according to an exemplary embodiment of the present invention.

Referring to FIG. 5, the service providing server 100 according to the present invention collects user context information and terminal context information, respectively, in connection with a user who uses a service as shown in FIG. 4 through the information management module 133. Based on the user feature information extracted from the information, the user context information is classified and stored (S205).

On the other hand, the user device 200 may request a predetermined service to the service providing server 100 according to the user input (S210).

When the service request is received as described above, the terminal device collects the terminal context information related to the user requesting the service from the user device 200 from the service providing server 100 and analyzes the collected terminal context information to request the service. Information is extracted (S220).

In operation S225, the user context information extracted from the user context information matched with the user feature information is extracted from the user context information stored for the corresponding user device 200.

Thereafter, the service providing server 100 generates service data corresponding to the service request, but generates personalized service data based on the user context information extracted in step S225 (S230). In particular, recommendation information may be generated according to the extracted user context information.

The service providing server 100 provides the generated personalized service data, that is, personalized recommendation information, to the user device 200 (S235).

The type of the recommendation information may vary depending on the service provided by the service providing server 100. For example, if the service providing server 100 is an e-commerce server that trades products, the recommendation information may be product information that is traded on the server. In addition, when the service providing server 100 is an advertisement server, the recommendation information may be advertisement information. In this case, the recommendation information may include one or more recommendation items corresponding to a field of interest to the user. That is, in the case of an e-commerce server, a plurality of recommended products may be included as a recommendation item, and in the case of an advertisement server, a plurality of advertisement data may be included as a recommendation item. In this case, the recommendation item included in the recommendation information may have a priority based on the user preference extracted based on the user context, and may be sequentially exposed to the user according to the priority.

Next, FIG. 6 and FIG. 7 are exemplary views showing examples of providing a recommendation service according to an exemplary embodiment of the present invention. Referring to this, an implementation example of the recommendation service according to the present invention will be described.

6 illustrates an example of an information table managed by the service providing server 100 according to the present invention.

Referring to FIG. 6, the service providing server 100 manages user context information collected for each user, and matches and manages user feature information extracted from terminal context information collected at a time of using a service with respect to each user context information. do. In FIG. 6, a user is indicated by a name for convenience of description, but is actually managed by a MAC address or an IP address or a user ID instead of the name.

The purchase history of powdered milk, women's clothing, computer parts, etc. was collected for the user named Hong Gil-dong. It can be seen that the characteristic information of the user who purchased the computer parts is different, and from this, the user who purchased the powdered milk and women's clothing and the user who searched the smartphone and purchased the computer parts are different people.

The service providing server 100 according to the present invention refers to the information table of FIG. 6, when a service is requested from the user account of Hong Gil-dong or from a specific user device 200 owned by Hong Gil-dong, the terminal collected at the time of the service request. Only relevant user context information is extracted from the information table using the user feature information extracted from the context information, and a personalized service, that is, a recommendation service, is provided based on the extracted user context information.

FIG. 7 illustrates a service screen provided to the user device 200 based on the information table of FIG. 6. 7 (a) and 7 (b) are both service screens provided for the same user device 200, FIG. 7 (a) shows a service provided when the user and feature information requesting the service are detected as AAA-1. As a screen, a product of interest to a woman, for example, shoes or a dress, is provided as a recommended product using only powdered milk and a history of purchasing women's clothes in the user context information.

On the other hand, Figure 7 (b) is a service screen provided when the user and feature information requesting the service is detected by AAA-2, based on the purchase history of the computer parts and the smartphone search history, such as a laptop or keyboard / mouse Computer peripherals were offered as recommended products.

As described above, according to the present invention, even if a service is requested from the same user device or the same user account, among the plurality of user context information previously collected for the user based on the user feature information extracted from the terminal context information collected at the time of request. By providing a service with reference only to user context information matched with user characteristic information, even when multiple users share the same user device or user account, it is possible to distinguish between users and provide accurate personalization service, that is, recommendation service. have.

As described above, the specification includes the details of a number of specific implementations, but these should not be understood as being limited to the scope of any invention or claimable, but rather may be specific to a particular embodiment of a particular invention. It should be understood as a description of the features. Certain features that are described in this specification in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable subcombination. Furthermore, while the features operate in a specific combination and may be initially depicted as so claimed, one or more features from the claimed combination may in some cases be excluded from the combination, wherein the claimed combination is a subcombination Or a combination of subcombinations.

Likewise, although the operations are depicted in the drawings in a specific order, it should not be understood that such operations must be performed in the specific order or sequential order shown in order to obtain desirable results or that all illustrated operations must be performed. In certain cases, multitasking and parallel processing may be advantageous. In addition, the separation of the various system components of the above-described embodiments should not be understood as requiring such separation in all embodiments, and the described program components and systems will generally be integrated together into a single software product or packaged into multiple software products. It should be understood that it can.

Specific embodiments of the subject matter described in this specification have been described. Other embodiments are within the scope of the following claims. For example, the actions recited in the claims can be performed in a different order but still achieve desirable results. As an example, the process depicted in the accompanying drawings does not necessarily require that particular illustrated or sequential order to obtain the desired results. In certain implementations, multitasking and parallel processing may be advantageous.

The foregoing description presents the best mode of the invention, and provides examples to illustrate the invention and to enable those skilled in the art to make and use the invention. The specification thus produced is not intended to limit the invention to the specific terms presented. Thus, while the present invention has been described in detail with reference to the examples described above, those skilled in the art can make modifications, changes and variations to the examples without departing from the scope of the invention.

Therefore, the scope of the present invention should be determined by the claims rather than by the described embodiments.

The present invention provides recommendation information based on user context information collected for each user ID, using the user context information collected on the same user ID using terminal context information for extracting a feature of a user using the user device. After classifying, by checking the user currently in use and providing a recommendation service using only the user context information, a more accurate recommendation service can be provided, and in particular, a plurality of unregistered users sharing the same user device or the same user ID. There is also an excellent effect to provide a personalized service to the user of.

100: service providing server 110: communication module
120: storage module 130: control module
131: recommended service module 133: information management module
200: user device 210: communication unit
220: input unit 230: display unit
240: storage unit 250: control unit
260: camera unit 270: sensor unit
280: audio processing unit

Claims (9)

In the method of providing a recommendation service that provides customized recommendation information,
A service providing server that provides a recommendation service,
Collecting user context information and terminal context information with respect to a user who uses a service, and separately storing the user context information based on user feature information extracted from the terminal context information;
Receiving a service request from a user device;
Collecting terminal context information from the user device;
Analyzing the collected terminal context information and extracting user characteristic information on the user who requested the service;
Selecting user context information matched with user characteristic information on the user who requested the service, from among prestored user context information associated with the user device;
And providing the requested service according to the selected user context information. The method of claim 1,
And the user context information is web usage information collected using cookie information generated in a web browser. The method of claim 1,
The terminal context information may include at least one of video, audio, and motion information related to a user. The method of claim 1, wherein the storing step
Collecting user context information related to service usage for each user based on device identification information or user identification information of the user device;
Collecting terminal context information associated with a user using a service from the user device;
Extracting user feature information by analyzing the terminal context information;
And matching the extracted user characteristic information to the collected user context information in consideration of device identification information or user identification information of a user device and a service usage time. The method of claim 1,
The user feature information includes at least one of facial feature information, phonetic feature information, and movement patterns. A storage module which collects user context information and terminal context information in association with a user who uses a service, and stores the user context information based on user feature information extracted from the terminal context information;
A communication module for transmitting and receiving data with the user device;
Upon receiving the service request from the user device, the terminal context information is collected and analyzed from the user device to extract user feature information on the user who requested the service, and the user who requested the service from the user context information stored in the storage module. And a control module for providing the requested service using only user context information matched with user characteristic information for the service. The method of claim 6, wherein the control module
After collecting user context information related to service use for each user based on device identification information or user identification information of a user device, collecting terminal context information related to a user using a service from the user device, and analyzing the terminal context information. And extracting user feature information, and matching the extracted user feature information to the collected user context information in consideration of device identification information or user identification information of a user device and a service usage time. Service providing server. The method of claim 7, wherein the control module
If a service request is received from the user device, further comprising a service providing module for providing the requested service based on the user context information,
The information management module extracts user feature information from terminal context information collected from a user device requesting a service in response to the service request, and provides the service with user context information matched with the user feature information or the user feature information. Service delivery server provided as a module. The method of claim 6,
The user context information is web usage information collected using cookie information generated in a web browser,
The terminal context information includes one or more of video, audio, and motion information related to a user.
And the user feature information includes at least one of facial feature information, phonetic feature information, and movement pattern.

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