Device and method for providing personalized information based on user interests

Abstract

The present disclosure relates to an apparatus and method for providing personalized information based on user interests. The apparatus includes: a communication device that communicates with a vehicle terminal of a vehicle; a storage device that stores context information of a corresponding user interest domain; and a processor that extracts a user interest domain of the vehicle based on a similarity obtained by matching context information received from the vehicle terminal at an interest time with the stored context information of the corresponding interest domain. Specifically, the processor provides clustering of similar interest information to the vehicle terminal based on the extracted interest domain.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to and the benefit of Korean Patent Application No. 10-2018-0159725, filed on Dec. 12, 2018, which is hereby incorporated by reference herein in its entirety. Technical Field

[0003] The present disclosure relates to an apparatus and method for providing personalized information based on user interests. Background Art

[0004] The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.

[0005] In recent years, with the widespread use of smart devices, the number of users of social networking services (SNS) has increased significantly due to the ease of use of the Internet. In SNS, personal interests can be easily exposed through text messages (e.g., texting and posting personal comments), images, videos, etc. Therefore, various studies have been conducted to provide personalized information to users by determining the inclinations or interests of individual users based on information available from SNS. Summary of the invention

[0006] One aspect of the present disclosure provides an apparatus and method for identifying an interest time when a user is interested in a specific object based on information about user operations of a vehicle during vehicle travel, and generating and providing interest information at the identified interest time based on contextual information related to the specific object.

[0007] The technical problems to be solved by the present disclosure are not limited to the above-mentioned problems, and any other technical problems not mentioned herein will be clearly understood by those skilled in the art to which the present disclosure belongs from the following description.

[0008] According to one aspect of the present disclosure, an apparatus for providing personalized information based on user interests includes: a communication device for communicating with a vehicle terminal of a vehicle; a storage device for storing contextual information of a user's corresponding field of interest; and a processor for extracting a user field of interest of the vehicle based on a similarity obtained by matching contextual information received from the vehicle terminal at an interest time with the stored contextual information of the corresponding field of interest, and providing clustering of similar interest information to the vehicle terminal based on the extracted field of interest.

[0009] The vehicle terminal can determine whether the current time corresponds to the interest time based on user operation information of the vehicle during vehicle driving.

[0010] The user operation information of the vehicle may include at least one of window operation, lane departure information of the vehicle, acceleration or deceleration information of the vehicle, volume adjustment information of a media device in the vehicle, and engine stop information of the vehicle.

[0011] The vehicle terminal can assign a weight value to each context information based on the user's gaze information and the user operation information of the vehicle, and the vehicle terminal can evaluate the user's interest level for the context information based on the sum of the weight values ​​of the context information.

[0012] The vehicle terminal can group the received contextual information together based on the user's interest level.

[0013] The received context information may be defined as information for extracting a user's interest domain.

[0014] The received context information may include at least one of media playback information, vehicle location information, points of interest, video information, road information, search terms, time information, and driving directions.

[0015] According to another aspect of the present disclosure, a method for providing personalized information based on user interests includes the following steps: receiving, by a processor, contextual information from a vehicle terminal at an interest time; extracting, by the processor, a user interest domain of the vehicle based on a similarity obtained by matching the received contextual information and contextual information of a corresponding interest domain previously stored; and providing, by the processor, a cluster of similar interest information to the vehicle terminal based on the extracted interest domain.

[0016] The step of receiving contextual information may include the following steps: determining whether the current time corresponds to the time of interest based on user operation information of the vehicle during driving of the vehicle; when it is determined that the current time corresponds to the time of interest, collecting contextual information at the time of interest through the vehicle terminal; and sending the collected contextual information to a device that provides personalized information based on user interests through the vehicle terminal.

[0017] The step of determining whether the current time corresponds to the interest time includes determining whether there is an interest object based on user operation information of the vehicle during driving of the vehicle, and the interest object is defined as an object that the user of the vehicle is interested in.

[0018] The user operation information includes at least one of window operation information of the vehicle, lane departure information of the vehicle, acceleration or deceleration information of the vehicle, volume adjustment information of a media device in the vehicle, and engine stop information.

[0019] The step of collecting context information may include: assigning a weight value to each context information based on the vehicle user's gaze information and the vehicle user's operation information through the vehicle terminal; and evaluating the user's interest level for the collected context information based on the sum of the weight values ​​of the collected context information.

[0020] The vehicle terminal can group the collected contextual information together based on the user's interest level.

[0021] The collected context information can be defined as information used to extract the user's interest domain.

[0022] The collected context information may include at least one of media playback information, vehicle location information, points of interest, video information, road information, search terms, time information, and driving directions.

[0023] Further areas of applicability will become apparent from the description provided herein.It should be understood that the description and specific examples are intended for purposes of illustration only and are not intended to limit the scope of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order that the present disclosure may be better understood, various forms of the present disclosure will now be described by way of example with reference to the accompanying drawings, in which:

[0025] Figure 1 is a block diagram showing a configuration of an apparatus for providing personalized information based on user interests;

[0026] Figure 2 is a block diagram showing the configuration of a vehicle terminal;

[0027] Figure 3 is a sequence diagram illustrating a method of providing personalized information based on user interests; and

[0028] Figure 4 is a block diagram illustrating a computing system that executes an interest information providing method.

[0029] The drawings described herein are for illustration purposes only and are not intended to limit the scope of the present disclosure in any way. DETAILED DESCRIPTION

[0030] The following description is merely exemplary in nature and is not intended to limit the present disclosure, application, or uses. It should be understood that throughout the drawings, corresponding reference numerals indicate like or corresponding parts and features.

[0031] It should be noted that when adding reference numerals to the components of each figure, the same or equivalent components are designated by the same numerals even when shown in other figures. In addition, when describing the form of the present disclosure, detailed descriptions of well-known features or functions will be omitted to avoid unnecessarily obscuring the gist of the present disclosure.

[0032] When describing components according to the form of the present disclosure, words such as first, second, "A", "B", (a) and (b) may be used. These terms are intended only to distinguish one component from another, and these terms do not limit the nature, sequence or order of the constituent components. Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as those commonly understood by those skilled in the art to which the present disclosure belongs. Unless clearly defined in this application, those terms defined in commonly used dictionaries should be interpreted as having the same meaning as the contextual meaning in the relevant technical field, and should not be interpreted as having an ideal or overly formal meaning.

[0033] Figure 1 is a block diagram illustrating a configuration of an apparatus 100 for providing personalized information based on user interests according to an exemplary form of the present disclosure.

[0034] See also Figure 1 , the device 100 for providing personalized information based on user interests may be implemented in the form of a server, and may be connected to the vehicle terminal 200 through a network. Here, the network may be implemented by a wireless Internet network such as a wireless LAN (WLAN) (e.g., WiFi), wireless broadband (Wibro), and / or World Interoperability for Microwave Access (Wimax), a mobile communication network such as code division multiple access (CDMA), global system for mobile communications (GSM), long term evolution (LTE), and / or LTE-Advanced, and / or a wired Internet network such as a local area network (LAN), a wide area network (WAN), Ethernet, and / or an integrated services digital network (ISDN).

[0035] The apparatus 100 for providing personalized information based on user interests may include a communication device 110 , a storage device 120 , and a processor 130 .

[0036] The communication device 110 communicates with the vehicle terminal 200. The communication device 110 receives information transmitted from the vehicle terminal 200. The communication device 110 transmits the interest information to the vehicle terminal 200 according to the instruction of the processor 140.

[0037] The storage device 120 may store a program for controlling the operation of the processor 130 and may temporarily store input / output data. The storage device 120 may store context information of a corresponding domain of interest in the form of a database. Here, the domain of interest may be classified into categories (main categories) such as restaurants, tourist attractions, sunset scenes, sunrise scenes, mountains, rivers, and animals, and the categories may include detailed information (subcategories) such as main dishes, major tourist attractions, scenes of specific places (e.g., sunset scenes of the Taean Peninsula), mountain names, river names, and animal names.

[0038] The storage device 120 may store the context information received through the communication device 110. The storage device 120 may include a similarity matching algorithm and a clustering algorithm. Here, the Euclidean distance algorithm and / or the K-NN (nearest neighbor) algorithm may be used as the similarity matching algorithm, and the K-means clustering algorithm and / or the MIN-HASH algorithm may be used as the clustering algorithm.

[0039] The storage device 120 can be implemented by at least one storage medium (recording medium) such as a flash memory, a hard disk, a secure digital (SD) card, a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an electrically erasable programmable ROM (EEPROM), an erasable programmable ROM (EPROM), a register, a removable disk, and a web page storage device.

[0040] The processor 130 controls the overall operation of the apparatus 100 for providing personalized information based on user interests. The processor 130 may be implemented by at least one of an application specific integrated circuit (ASIC), a digital signal processor (DSP), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a microcontroller, and a microprocessor.

[0041] When receiving the context information transmitted from the vehicle terminal 200, the processor 130 analyzes the corresponding context information and extracts the domain of interest. In this case, the processor 130 can identify the similarity between the received context information and the context information of the corresponding domain of interest stored in the storage device 120 by using a similarity matching algorithm. And the processor 130 can identify or determine the domain of interest (category) based on the identified similarity. When the user domain of interest is identified or determined, the processor 130 can store the received context information as context information matching the corresponding domain of interest.

[0042] The processor 130 classifies users with the same interest domain into the same group and generates feature information of the corresponding group. In other words, the processor 130 groups users with similar interest domains (or the same interest domain) into one group by using a clustering algorithm.

[0043] The processor 130 generates interest information based on the characteristic information of the classified group. The processor 130 also extracts content including common unique interests (eg, distinctive preferences) of the same group of users and generates interest information (recommendation information) based on information about the extracted content.

[0044] The processor 130 may transmit the generated interest information to the vehicle terminal 200 through the communication device 110 .

[0045] Figure 2 is a block diagram showing a configuration of the vehicle terminal 200 according to one form of the present disclosure.

[0046] like Figure 2 As shown, the vehicle terminal 200 includes a communication device 210, a detection device 220, a storage device 230, a user input device 240, an output device 250, and a processor 260, which are connected to each other through a bus.

[0047] The communication device 210 communicates with the apparatus 100 via a network. The communication device 210 may use wireless Internet technologies such as telematics, WiFi, and / or Wibro, mobile communication technologies such as CDMA, GSM, LTE, and / or LTE-Advanced, and / or vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-nomadic device (V2N), and / or in-vehicle network (IVN) technologies.

[0048] The detection device 220 can obtain information about the user's operation of the vehicle and the user's context information through various types of sensors and electronic control units (ECUs) installed in the vehicle. Here, the sensor may include a speed sensor, a positioning sensor, an image sensor (camera), and a sound sensor (e.g., a microphone). The electronic control unit may include a body control unit, an engine control unit, a brake control unit, a steering control unit, and a telematics unit.

[0049] The detection device 220 can detect vehicle operation information, such as whether a window is operated, whether the vehicle deviates from a lane, whether the vehicle accelerates or decelerates, whether the volume of the media is adjusted, and / or whether the engine is stopped, by means of an electronic control unit and a sensor connected thereto via IVN. Here, IVN is implemented by a controller local network (CAN), a media oriented systems transport (MOST) network, a local interconnect network (LIN), and / or a wire control technology (Flexray).

[0050] In addition, the detection device 220 can obtain context information such as media playback information, vehicle location information, points of interest (POI), video information, road information, search terms, time information, and driving direction by using sensors and electronic control units. Context information is information (variables) required to extract (determine) the user's domain of interest. Context information is related to interest.

[0051] The storage device 230 may store software programmed to cause the processor 260 to perform predetermined operations. The storage device 230 may store input and output data and various setting information of the processor 260. The storage device 230 may be implemented by at least one storage medium such as a flash memory, a hard disk, an SD card, a RAM, a SRAM, a ROM, a PROM, an EEPROM, an EPROM, a register, a removable disk, and a web storage device.

[0052] The storage device 230 may store the interest time determination algorithm and the eye tracking algorithm. The storage device 230 may store the information detected by the detection device 220.

[0053] The user input device 240 generates a control signal in response to a user operation. The user input device 240 is implemented by any one of input devices such as a button, a key, a touch pad, a small keyboard, and a touch screen, or a combination of two or more thereof. Here, the control signal includes a signal for locking or unlocking a door, a signal for opening a trunk, a signal for ignition, or a signal for interruption.

[0054] The output device 250 can output the progress state and / or result in the form of visual information, auditory information and / or tactile information according to the operation of the processor 260. The output device 250 may include a display, an audio output module and a tactile information output module. The display may include a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light emitting diode (OLED) display, a flexible display, a three-dimensional (3D) display, a transparent display, a head-up display (HUD), a touch screen and a combination instrument. One or more. The audio output module can output audio data stored in the storage device 230. The audio output module may include a receiver, a speaker and / or a buzzer. The tactile information output module outputs a signal in a form that the user can recognize by touch. For example, the tactile information output module can be implemented with an oscillator, and the vibration intensity and pattern can be controlled.

[0055] The processor 260 controls the overall operation of the vehicle terminal 200. The processor 260 may be implemented by at least one of an application specific integrated circuit (ASIC), a digital signal processor (DSP), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a microcontroller, and a microprocessor.

[0056] The processor 260 receives information about the operation of the vehicle by a user (e.g., driver, passenger), and the processor 260 may determine whether there is an object of interest that the user is interested in based on the received information about the operation of the vehicle by the user. The processor 260 may identify the time (interest time) when the user is interested in a specific object based on the information about the user operation of the vehicle.

[0057] When it is determined that the current time corresponds to the time of interest, the processor 260 collects the situation information through the detection device 220. When collecting the situation information, the processor 260 can assign a weight value to the collected situation information based on the information about the user operation of the vehicle and the user's gaze information. That is, the processor 260 can evaluate the user's interest level for interest (e.g., background, POI, etc.) based on the information about the user operation of the vehicle and the user's gaze information. In this case, the gaze information can be obtained by using a camera applied to the driver monitoring system.

[0058] For example, the processor 260 may assign a weight value to each piece of context information based on Table 1 below.

[0059] [Table 1]

[0060]

[0061] The processor 260 can classify the user's interest level for each piece of situational information into a high level, a medium level, or a low level based on the sum of the weight values ​​of the corresponding situational information. The processor 260 can send the situational information and the user's interest level of the corresponding situational information to the device 100 for providing personalized information based on user interests. The processor 260 can group and store the situational information based on the user's interest level. The processor 260 sends the situational information (information related to the object of interest) detected by the detection device 220, and then receives the interest information from the device 100 for providing personalized information based on user interests. The processor 260 outputs the received interest information through the output device 250.

[0062] Figure 3 is a sequence diagram illustrating a method for providing personalized information based on user interests according to one form of the present disclosure.

[0063] The vehicle terminal 200 detects information about a user operation of the vehicle while the vehicle is traveling (S110). The vehicle terminal 200 may obtain information about a user operation of the vehicle through various types of sensors, electronic devices, and electronic control units installed in the vehicle.

[0064] The vehicle terminal 200 determines whether the current time corresponds to the interest time based on the information about the user operation of the vehicle (S120). The vehicle terminal 200 can determine whether the object of interest that the user is interested in appears based on the information about the user operation of the vehicle. For example, when the left window is opened during vehicle driving and the vehicle deviates from the lane or moves from one side to the other as the accelerator pedal travel decreases, the vehicle terminal 200 determines that the object of interest that the user is interested in appears on the left side relative to the driving direction of the vehicle. That is, the vehicle terminal 200 can determine the current time when the object of interest that the user is interested in appears as the interest time.

[0065] When it is determined that the current time corresponds to the time of interest, the vehicle terminal 200 collects the situational information at the corresponding time through the detection device 220 (S130). In the case where the current time corresponds to the time of interest, the vehicle terminal 200 can obtain video information through a camera (not shown) installed on the vehicle, and can identify the position of the vehicle and the current time through a positioning sensor. In addition, the vehicle terminal 200 can match the vehicle position measured by the positioning sensor with the map information stored in the storage device 220, and can obtain information about points of interest (POI) located within a predetermined radius based on the name of the road on which the vehicle is traveling and the position of the vehicle. In this case, when collecting situational information, the vehicle terminal 200 can define a user interest level (e.g., high level, medium level, or low level) for the collected situational information based on information about the user operation of the vehicle.

[0066] The vehicle terminal 200 transmits the collected context information to the apparatus 100 for providing personalized information based on user interests ( S140 ).

[0067] When receiving context information from the vehicle terminal 200, the apparatus 100 for providing personalized information based on user interests extracts an interest domain based on the context information (S150). The apparatus 100 for providing personalized information based on user interests compares the received context information with context information of a corresponding interest domain stored in the storage device 230 by using a similarity matching algorithm, and extracts an interest domain that matches the received context information. For example, when information "The sunset is beautiful" is received as context information through the Taean Peninsula, a sunset image, 6:00 p.m., and virtual reality (VR), the apparatus 100 for providing personalized information based on user interests may determine that the interest domain is "sunset."

[0068] The apparatus 100 for providing personalized information based on user interests extracts a user group having an interest domain similar to the extracted interest domain, and generates interest information of the extracted user group (S160). In the case where the extracted interest domain is "sunset", the apparatus 100 for providing personalized information based on user interests can generate a cafe or a specific place for watching the sunset as interest information based on relevant information (e.g., the location of a vehicle) that is of interest to users interested in the corresponding interest domain.

[0069] The apparatus 100 for providing personalized information based on user interests may transmit the generated interest information to the vehicle terminal 200 (S170). The vehicle terminal 200 may output the interest information received from the apparatus 100 to the output device 250. For example, the vehicle terminal 200 may recommend a good cafe within a predetermined radius relative to the vehicle location to watch the sunset.

[0070] Figure 4 The invention is a block diagram of a computing system for executing a method for providing interest information according to an exemplary form of the present disclosure.

[0071] See also Figure 4 The computing system 1000 may include at least one processor 1100 , a memory 1300 , a user interface input device 1400 , a user interface output device 1500 , a storage device 1600 , and a network interface 1700 , which are interconnected via a bus 1200 .

[0072] The processor 1100 may be a central processing unit (CPU) or a semiconductor device that processes instructions stored in the memory 1300 and / or the storage device 1600. The memory 1300 and the storage device 1600 may include various types of volatile or non-volatile storage media. For example, the memory 1300 may include a ROM (Read Only Memory) 1310 and a RAM (Random Access Memory) 1320.

[0073] Therefore, the operation of the method or algorithm described in the form disclosed herein can be directly embodied in a hardware or software module or a combination thereof executed by the processor 1100. The software module can reside on a storage medium (i.e., memory 1300 and / or storage device 1600) such as RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, register, hard disk, removable disk or CD-ROM. An exemplary storage medium can be coupled to the processor 1100, and the processor 1100 can read information from the storage medium and can record information in the storage medium. Alternatively, the storage medium can be integrated with the processor 1100. The processor 1100 and the storage medium can reside in an application specific integrated circuit (ASIC). The ASIC can reside in a user terminal. In another case, the processor 1100 and the storage medium can reside in a user terminal as a separate component.

[0074] According to the present disclosure, the device and method can identify the interest time when the user is interested in a specific object based on information about the user's operation of the vehicle during vehicle driving, and can generate and provide interest information at the identified interest time based on situational information related to the specific object.

[0075] In the above, although the present disclosure has been described with reference to exemplary forms and drawings, the present disclosure is not limited thereto, and those skilled in the art to which the present disclosure belongs may make various modifications and changes without departing from the spirit and scope of the present disclosure claimed in the appended claims. Therefore, the exemplary forms of the present disclosure are provided to explain the spirit and scope of the present disclosure, rather than to limit the spirit and scope of the present disclosure, so that the spirit and scope of the present disclosure are not limited by these forms.

[0076] Although the present disclosure has been described above with reference to exemplary forms and drawings, the present disclosure is not limited thereto, and various modifications and changes may be made by those skilled in the art to which the present disclosure pertains without departing from the spirit and scope of the present disclosure.

Claims

1. A system for providing personalized information based on user interests, the system comprising: Vehicle terminal; Devices including communications equipment; Memory; as well as processor The processor is configured to: receiving, using the communication device, context information transmitted from the vehicle terminal; extracting a user interest domain of the vehicle based on a similarity obtained by matching the received context information from the vehicle terminal with the context information of the corresponding interest domain stored in the memory, generating interest information based on characteristic information of a user group having the same field of interest as the extracted field of interest; using the communication device to provide the generated interest information to the vehicle terminal; The vehicle terminal is configured as follows: determining at least one user operation of the vehicle in response to detection of a sensor and an electronic control unit (ECU) installed in the vehicle during driving of the vehicle; determining, based on at least one user operation of the vehicle during the driving of the vehicle, whether a current time corresponds to an interest time when the user is interested in a specific object; When the current time corresponds to the interest time when the user is interested in the specific object, determining context information related to the specific object in response to detection of the sensor and the ECU at the current time; outputting the generated interest information received by the processor to an output device, and Among them, the at least one user operation of the vehicle includes at least one of the vehicle's window operation, the vehicle's lane departure information, the vehicle's acceleration or deceleration information, the vehicle's volume adjustment information of a media device in the vehicle, and the vehicle's engine stop information.

2. The system according to claim 1, wherein: The vehicle terminal is configured to assign a weight value to each context information based on the user's gaze information and the user operation information of the vehicle, and the vehicle terminal is configured to evaluate the user's interest level for the received context information based on the sum of the weight values ​​of the context information.

3. The system according to claim 2, wherein: The vehicle terminal is configured to group the received context information together based on the interest level of the user.

4. The system according to claim 1, wherein: The received context information is defined as information used to extract the user's interest domain.

5. The system according to claim 4, wherein: The determined context information includes at least one of media playback information, vehicle location information, points of interest, video information, road information, search terms, time information, and driving directions.

6. A method for providing personalized information based on user interests, the method comprising the following steps: In response to detecting a sensor and an electronic control unit (ECU) installed in the vehicle during driving of the vehicle, determining at least one user operation of the vehicle through a vehicle terminal; Based on at least one user operation of the vehicle during the driving of the vehicle, determining, by the vehicle terminal, whether the current time corresponds to an interest time when the user is interested in a specific object; When the current time corresponds to the interest time when the user is interested in the specific object, determining, by the vehicle terminal, context information related to the specific object in response to detection of the sensor and the ECU at the current time; receiving, by a processor, context information transmitted from the vehicle terminal using a communication device; extracting, by the processor, a user interest domain of the vehicle based on a similarity obtained by matching the received context information from the vehicle terminal with the context information of the corresponding interest domain stored in the memory; generating, by the processor, interest information based on feature information of a user group having the same field of interest as the extracted field of interest; providing the generated interest information to a vehicle terminal using the communication device by the processor; as well as outputting the generated interest information received by the processor to an output device through the vehicle terminal; Among them, the at least one user operation of the vehicle includes at least one of the vehicle's window operation, the vehicle's lane departure information, the vehicle's acceleration or deceleration information, the vehicle's volume adjustment information of a media device in the vehicle, and the vehicle's engine stop information.

7. The method according to claim 6, wherein: The step of receiving the context information comprises: The determined context information is sent, through the vehicle terminal, to a device configured to provide personalized information based on user interests.

8. The method according to claim 7, wherein: The specific object is defined as an object of interest to a user of the vehicle.

9. The method according to claim 7, further comprising the steps of: By means of the vehicle terminal, a weight value is assigned to each context information based on the gaze information of the user of the vehicle and the user operation information of the vehicle; as well as The interest level of the user is evaluated for the collected context information based on the sum of the weight values ​​of the collected context information.

10. The method according to claim 9, wherein: The vehicle terminal is configured to group the determined context information together based on the interest level of the user.

11. The method according to claim 7, wherein: The collected context information is defined as information used to extract the user's interest domain.

12. The method according to claim 11, wherein: The determined context information includes at least one of media playback information, vehicle location information, points of interest, video information, road information, search terms, time information, and driving directions.

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