KR102571060B1 - Method and apparatus for providing content recommendation to devices - Google Patents

Abstract

Content comprising receiving first log information of an external device, generating content recommendation information based on the first log information and second log information of the first device, and displaying the content recommendation information. A method of providing recommendation information is disclosed.

Description

Method and apparatus for providing content recommendation information to a device {METHOD AND APPARATUS FOR PROVIDING CONTENT RECOMMENDATION TO DEVICES}

Various embodiments relate to a device for providing content recommendation information and a method for providing content recommendation information accordingly. In particular, various embodiments relate to providing recommendation information for content for a device based on other devices in an Internet of Things (IOT) or smart home environment.

Content refers to various types of information or contents provided through the Internet or computer communication. BACKGROUND OF THE INVENTION [0002] With the development of the Internet and communication technology, an increasing number of contents are provided to users. As a result, users have difficulty selecting necessary content to the extent that a new word “content stress” has been coined.

In order to solve the user's difficulties, various systems are provided that recommend content according to at least one of the user's preference and interest, trend according to the trend of the times, and category.

Various embodiments may provide a method and system capable of generating content recommendation information and displaying the content recommendation information on a device using keywords included in user log information of a device.

A method of operating a first device according to an embodiment includes receiving first log information of an external device, generating content recommendation information based on the first log information and second log information of the first device, and and displaying content recommendation information.

In the method of operating a first device according to an embodiment, the first log information may include cache files stored in an external device, cookies, search records, download records, search records, content stored in the external device, and at least one information stored in the external device. It may include at least one of data necessary to execute the content, and the second log information may include cache files stored in the first device, cookies, search records, download records, search records, content stored in the first device, and information stored in the first device. It may include at least one of data necessary to execute at least one piece of content.

The operating method of the first device according to an embodiment may further include receiving user login information, and the first log information and the second log information may include corresponding to the user login information.

In the first device operating method according to an embodiment, content recommendation information includes recommended content, and the step of displaying the content recommendation information includes first content corresponding to the recommended content and recommended content among content displayed on a display unit. and displaying second content that does not correspond to the second content to be distinguished from each other.

In the method of operating a first device according to an embodiment, the displaying of the first content and the second content to be distinguished from each other includes enlarging and displaying the first content at a first magnification, and displaying the second content at the first magnification. It may include a step of reducing and displaying the second magnification determined based on.

In the operating method of a first device according to an embodiment, the displaying of the first content and the second content to be distinguished from each other may include displaying the first content in a first area and distinguishing the second content from the first area. It may include displaying in the second area to be.

In the operating method of a first device according to an embodiment, generating content recommendation information may include detecting a recommended keyword from among keywords based on appearance frequencies of keywords included in first log information and second log information. It may include a step of comparing recommended keywords with information about content, and generating content recommendation information based on the comparison result.

The operating method of the first device according to an embodiment may further include transmitting content recommendation information to an external device.

A first device according to an embodiment includes a communication unit for receiving first log information of an external device, a control unit for generating content recommendation information based on the first log information and second log information of the first device, and content recommendation information. It may include a display unit for displaying.

In the first device according to an embodiment, the first log information includes cache files stored in an external device, cookies, search records, download records, search records, content stored in the external device, and content necessary to execute at least one content in the external device. It may include at least one of data, and the second log information includes cache files, cookies, search records, download records, search records, content stored in the first device, and at least one content stored in the first device. It may include at least one of data required for execution.

The first device according to an embodiment may further include a user input unit for receiving user login information, and the first log information and the second log information may correspond to the user login information.

Content recommendation information according to an embodiment includes recommended content, and the display unit distinguishes between displaying first content corresponding to the recommended content and second content not corresponding to the recommended content among the contents displayed on the display unit. Features can be included.

Distinguishingly displaying the first content and the second content on the display unit according to an exemplary embodiment includes enlarging and displaying the first content at a first magnification and reducing the second content at a second magnification determined based on the first magnification. It may include displaying by

Distinctively displaying the first content and the second content by the display unit according to an embodiment includes displaying the first content in a first area and displaying the second content in a second area distinct from the first area. can do.

The controller according to an embodiment compares recommended keywords with information about content and a keyword detector that detects recommended keywords among keywords based on the appearance frequencies of keywords included in the first log information and the second log information; Based on the comparison result, it may include a recommendation information generation unit for generating content recommendation information.

The communication unit according to an embodiment may include transmitting content recommendation information to an external device.

The first device according to an embodiment may further include a storage unit capable of storing content recommendation information.

According to an embodiment, the first device may communicate with multiple devices to receive related information, and thus generate content recommendation information using log information in multiple devices.

According to an embodiment, the first device may display content recommendation information through a display unit or may transmit content recommendation information to an external device and provide the content recommendation information to a user.

According to an embodiment, the first device may provide personalized content recommendation information for each user using user log-in information.

1 is a diagram illustrating a method for a first device to provide content recommendation information by using log information of a second device, according to an exemplary embodiment.
2 is a diagram illustrating a communication method between a first device and a second device and a method of providing content recommendation information using log information of a device, according to an exemplary embodiment.
3 is a flowchart illustrating a method for providing content recommendation information by a first device, according to an exemplary embodiment.
4 is a flowchart illustrating a method for providing content recommendation information by a first device, according to an exemplary embodiment.
5 is a diagram illustrating a method in which a first device generates and provides content recommendation information based on its own log information and log information of a plurality of second devices, according to an exemplary embodiment.
6 is a diagram illustrating a method in which a server generates and provides content recommendation information based on log information of a first device and a second device, according to an exemplary embodiment.
7 is a block diagram illustrating a configuration of a first device for providing content recommendation information, according to an exemplary embodiment.
8 is a block diagram illustrating a configuration of a first device for providing content recommendation information according to an exemplary embodiment.
9 is a flowchart illustrating a process of generating content recommendation information by a first device according to an exemplary embodiment.
10 is a diagram illustrating an example of a process of generating content recommendation information by a first device according to an embodiment.
11 is a flowchart illustrating a method of generating and providing personalized content recommendation information for each user by a first device receiving user log-in information, according to an exemplary embodiment.
12 is a diagram illustrating an example in which a first device receives user log-in information according to an embodiment.
13 is a diagram illustrating an example of a method of displaying content recommendation information by a first device according to an embodiment.
14 is a diagram illustrating an example of a method of displaying content recommendation information by a first device according to an embodiment.
15 is a diagram illustrating an example of a method of displaying content recommendation information by a first device according to an embodiment.
16 is a diagram illustrating an example in which a first device outputs content recommendation information as audio through an audio output unit, according to an embodiment.
17 is a diagram illustrating an IOT scenario in which a first device generates content recommendation information based on log information received from a plurality of second devices, according to an embodiment.

The terms used in this specification will be briefly described, and the present invention will be described in detail.

The terms used in the present invention have been selected from general terms that are currently widely used as much as possible while considering the functions in the present invention, but these may vary depending on the intention of a person skilled in the art or precedent, the emergence of new technologies, and the like. In addition, in a specific case, there is also a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, not simply the name of the term.

When it is said that a certain part "includes" a certain component throughout the specification, it means that it may further include other components without excluding other components unless otherwise stated. Accordingly, a list of processes or methods comprising steps may include not only those steps, but also processes or methods that are not explicitly listed or implicitly listed. Similarly, references to “comprising” in one or more devices, subsystems or components do not exclude the presence of other devices, subsystems or components. In addition, terms such as "...unit" and "module" described in the specification mean a unit that processes at least one function or operation, which may be implemented as hardware or software or a combination of hardware and software. .

In this description, the term "first device" broadly refers to log information for generating content recommendation information itself or generating content recommendation information in a server based on its own log information and at least one second device's log information. Any device capable of providing content recommendations by sending. The term "second device" or "external device" refers to an arbitrary device capable of receiving content recommendation information in a wide range, but unable to generate content recommendation information by itself.

Hereinafter, with reference to the accompanying drawings, embodiments will be described in detail so that those skilled in the art can easily carry out the present invention. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

FIG. 1 is a diagram illustrating a method for a first device 100 to provide content recommendation information using log information of a second device 200, according to an exemplary embodiment.

As shown in FIG. 1, the first device 100 may be a smart TV, but this is only an example, and is a smart phone, tablet, digital camera, camcorder, laptop computer, desktop, or e-book. It may be implemented as a terminal, a digital broadcasting terminal, personal digital assistants (PDA), portable multimedia player (PMP), navigation, MP3 player, wearable device, or home appliance.

In addition, the second device 200 may be a smart phone, but this is only an example, and is a smart TV, tablet, digital camera, camcorder, laptop computer, desktop, e-book reader, digital broadcast terminal, PDA. (Personal Digital Assistants), portable multimedia players (PMPs), navigation, MP3 players, wearable devices, or home appliances.

In one embodiment, the first device 100 performs handshaking with the second device 200 in order to receive the first log information from the second device 200 . Handshaking refers to exchanging a series of signals to synchronize between two devices when transmitting data.

For handshaking, the second device 200 transmits a synchronization signal to the first device 100, and the first device responds to the synchronization signal by sending an acknowledgment signal to the second device 200 ( acknowledgment signal). When handshaking is completed, the first device 100 receives first log information from the second device 200 . The first log information includes a cache file stored in the second device 200, a cookie, a search record, a download record, a search record, content stored in the second device 200, and at least one content executed in the second device 200. It may include at least one of the data required to do so.

The first device 100 generates content recommendation information using the first log information and the second log information. The second log information includes a cache file stored in the first device 100, a cookie, a search record, a download record, a search record, content stored in the first device 100, and at least one content executed in the first device 100. It may include at least one of the data required to do so.

The first device detects a recommended keyword from the first log information and the second log information. The first device may generate content recommendation information based on the recommended keyword.

In one embodiment, the first device 100 may generate content recommendation information using only the first log information.

In one embodiment, the first device 100 may display content recommendation information on the display unit of the first device 100 .

In one embodiment, the first device 100 may transmit content recommendation information to the second device 200 .

2 is a diagram illustrating a communication method between a first device 100 and a second device 200 and a method of providing content recommendation information using log information of a device, according to an embodiment.

Referring to FIG. 2 , the first device 100 performs handshaking with the second device 200 .

The second device 200 transmits a synchronization signal to the first device 100 (S210). The first device 100 transmits an acknowledgment signal to the second device 200 in response to the synchronization signal (S220). When the handshaking is completed, the second device 200 transmits the first log information to the first device 100 (S230). The first device 100 generates content recommendation information using the received first log information and its own second log information (S240). The first device 100 may transmit content recommendation information to the second device 200 (S250), and the first device 100 and the second device 200 may display the content recommendation information on the display unit. Yes (S260, S270).

In one embodiment, the first device 100 may generate content recommendation information using only the first log information received from the second device 200 .

In one embodiment, the first log information is a cache file, a cookie, a search record, a download record, a search record stored in the second device 200, content stored in the second device 200, and at least It may include at least one of data necessary to execute one content. In addition, the second log information includes cache files, cookies, search records, download records, and search records stored in the first device 100, content stored in the first device 100, and at least one content in the first device 100. It may include at least one of data necessary to execute.

In one embodiment, receiving the first log information from the second device 200 may be performed through short-range communication technology.

In an embodiment, the short-range communication technology may include at least one of near-field communication (NFC), Wi-Fi, Bluetooth, infrared (IR), and Wi-Fi-direct.

In one embodiment, the first device 100 and the second device 200 may be included in a home network or Internet of Things (IOT).

In one embodiment, the content may include at least one of applications, books, music, AV data, services, games, multimedia, videos, calendars, schedules, preferences, and user-accessible data.

In one embodiment, the first device 100 and the second device 200 may store content recommendation information in a storage unit.

In one embodiment, the first device 100 and the second device 200 may control the display unit based on the generated content recommendation information.

The first device 100 according to an embodiment may control the display unit based on content recommendation information. For example, the first device may display the content included in the content recommendation information to be distinguished from the content not included in the content recommendation information on the display unit. For example, the first device 100 may set the displayed position or size of content included in the content recommendation information and content not included in the content recommendation information to be different.

If the recommended content included in the content recommendation information is not stored in the first device 100, the first device 100 according to an embodiment may control download of the recommended content from an external server.

3 is a flowchart illustrating another method of providing content recommendation information by a first device, according to an exemplary embodiment.

Referring to FIG. 3 , the first device 100 may receive first log information from an external device (S310). The first device 100 performs handshaking with an external device. For handshaking, the external device transmits a synchronization signal to the first device 100, and the first device transmits an acknowledgment signal to the external device in response to the synchronization signal. When handshaking is completed, the first device 100 receives first log information from an external device. The first log information includes at least one of a cache file stored in an external device, a cookie, a search record, a download record, a search record, content stored in the second device 200, and data required to execute at least one content in the external device. can do.

The first device 100 may generate content recommendation information based on the first log information and the second log information (S320). The second log information includes a cache file stored in the first device 100, a cookie, a search record, a download record, a search record, content stored in the first device 100, and at least one content executed in the first device 100. It may include at least one of the data required to do so.

Also, the first device 100 may generate a user profile by analyzing and processing the first log information and the second log information. The user profile may include information reflecting the user's preference for selecting content.

In one embodiment, the user profile may include a recommended keyword detected based on a frequency among keywords included in the first log information and the second log information.

In one embodiment, the first device 100 may generate content recommendation information including one or more recommended content based on the user profile. By comparing the recommended keyword and content information, content having content information matching the recommended keyword may be included in the recommended content. Content information may include a name of the content, meta information, and a description of the content.

In one embodiment, the first device 100 may receive only log information related to a specific user by using user login input information. Log information related to a specific user may include a search history, browsing records, content playlist, etc. performed by the specific user using the first device or an external device among log information stored in the device. When the first device 100 generates a user profile based only on log information related to a specific user, it may create a personalized user profile. When the first device 100 generates content recommendation information based on a personalized user profile, it may generate content recommendation information reflecting only content preferences of a specific user.

In one embodiment, the first device 100 may transmit the first log information and the second log information to the server. The server may generate content recommendation information based on the first log information and the second log information, and may transmit the generated content recommendation information to the first device 100 .

In one embodiment, the first device 100 may transmit the user profile to the server. Upon receiving the user profile, the server may generate content recommendation information based on the user profile and transmit the content recommendation information to the first device 100 .

In one embodiment, the first device 100 may store a user profile in a storage unit. In addition, the user profile pre-stored in the storage unit may be updated using at least one of newly received first log information and second log information.

The first device 100 may display content recommendation information through the display unit (S330). The display unit may display recommended content included in the content recommendation information to be distinguished from content not included in the content recommendation information. The display unit of the first device 100 may set a displayed position or size of recommended content included in the content recommendation information and content not included in the content recommendation information to be different. In addition, it can be differentiated by graphical adjustments such as highlighting and grouping.

In one embodiment, the first device 100 may output content recommendation information as audio through an audio output unit.

In one embodiment, the first device 100 may transmit content recommendation information to an external device.

4 is a flowchart illustrating another method of providing content recommendation information by a first device, according to an exemplary embodiment.

Referring to FIG. 4 , the first device 100 may receive first log information from an external device (S410). The first device performs handshaking with an external device. As described above, the first log information may include a user's device use record stored in an external device.

The first device 100 may generate content recommendation information based only on the first log information (S420). That is, the first device 100 may generate content recommendation information using the first log information received from the external device. At this time, the first device 100 stores the log information of the first device, but may not use the stored log information to generate content recommendation information. Alternatively, the first device 100 may be a device that does not store log information of the first device.

In one embodiment, the first device 100 may generate a user profile by analyzing and processing the first log information. The user profile may include information reflecting the user's preference for selecting content.

In one embodiment, the user profile may include a recommended keyword detected based on a frequency among keywords included in the first log information.

In one embodiment, the first device 100 may generate content recommendation information including one or more recommended content based on the user profile. The first device 100 may compare recommended keywords with content information and include content having content information matching the recommended keyword in recommended content. Content information may include a name of the content, meta information, and a description of the content.

In one embodiment, the first device 100 may receive only log information related to a specific user from log information stored in an external device using user login input information. Log information related to a specific user may include a search history performed by the specific user using an external device, a browsing record, a content play list, and the like, among log information stored in an external device. When the first device 100 generates a user profile based only on log information related to a specific user, it may create a personalized user profile. When the first device 100 generates content recommendation information based on a personalized user profile, it may generate content recommendation information reflecting only content preferences of a specific user.

In one embodiment, the first device 100 may transmit the first log information to the server. The server may generate content recommendation information based on the first log information, and transmit the generated content recommendation information to the first device 100 .

In one embodiment, the first device 100 may transmit the user profile to the server. Upon receiving the user profile, the server may generate content recommendation information based on the user profile and transmit the content recommendation information to the first device 100 .

In one embodiment, the first device 100 may store a user profile in a storage unit. At this time, the user profile pre-stored in the storage unit may be updated using the newly received first log information.

The first device 100 may display content recommendation information through the display unit (S430). The display unit may display recommended content included in the content recommendation information to be distinguished from content not included in the content recommendation information. The display unit of the first device 100 may set a displayed position or size of recommended content included in the content recommendation information and content not included in the content recommendation information to be different. In addition to this, it can be differentiated by graphical adjustments such as highlighting and grouping.

In one embodiment, the first device 100 may output content recommendation information as audio through an audio output unit.

In one embodiment, the first device 100 may transmit content recommendation information to the external device 200 .

FIG. 5 is a diagram illustrating a method for generating and providing content recommendation information based on stored log information and log information of a plurality of external devices 201 and 202 in the first device 100, according to an exemplary embodiment. .

Referring to FIG. 5 , the first device may be the smart TV 100. Also, the plurality of external devices may include the mobile device 201 and the tablet 202 . However, it is not limited thereto, and the first device and a plurality of external devices may be implemented as various devices. The mobile device 201 and the tablet 202 transmit their first log information to the smart TV 100 . The smart TV 100 generates content recommendation information based on the received first log information and its own second log information. In this case, the content recommendation information may include a recommended application. The smart TV 100 may display a recommended application included in content recommendation information on the display unit. As shown, the smart TV 100 may transmit content recommendation information to a plurality of external devices such as a mobile device 201 and a tablet 202 . Each of the external devices may display content recommendation information through a display unit.

In one embodiment, the smart TV 100 may generate content recommendation information based only on the received first log information.

In one embodiment, mobile device 201 may be a master device and tablet 202 may be a slave device.

The slave device 202 and the master device 201 perform handshaking. For example, the slave device 202 transmits a synchronization signal to the master device 201 . The master device 201 transmits an acknowledgment signal to the slave device 202 in response to the synchronization signal.

When the handshaking is completed, the slave device 202 transmits log information of the slave device 202 (hereinafter referred to as log information A) to the master device 201 . Also, the first device 100 and the master device 201 may perform handshaking. When the handshaking is completed, the master device 201 transmits the log information A and the log information of the master device 201 (hereinafter referred to as log information B) to the first device 100 . The first device 100 generates content recommendation information by using log information A, log information B, and log information (second log information) of the first device 100 . The first device 100 may transmit content recommendation information to the master device 201 , and the master device 201 may transmit the received content recommendation information to the slave device 202 .

In one embodiment, the first device 100 may receive first log information from the external devices 201 and 202 using short-range communication and send content recommendation information to the external devices 201 and 202 . can transmit

In an embodiment, the short-range communication technology may include at least one of near-field communication (NFC), Wi-Fi, Bluetooth, infrared (IR), and Wi-Fi-direct.

FIG. 6 is a diagram illustrating a method in which the server 300 generates and provides content recommendation information based on log information of the first device 100 and the external devices 201 and 202, according to an exemplary embodiment.

Referring to FIG. 6 , the first device may be the smart TV 100. A plurality of external devices may include a mobile device 201 and a tablet 202 . Also, the server may be the desktop 300 . However, it is not limited thereto, and the first device, the server 300 and the plurality of external devices 201 and 202 may be implemented as various devices. The mobile device 201 and the tablet 202 transmit their first log information to the smart TV 100 . The smart TV 100 transmits its own second log information and the received first log information to the server. The server 300 generates content recommendation information based on the first log information and the second log information, and transmits the content recommendation information to the smart TV 100 . Content recommendation information may include a recommended application. At this time, the smart TV 100 may display the recommended application on the display unit. Also, the smart TV 100 may transmit content recommendation information to at least one of the mobile device 201 and the tablet 202 . Each of the external devices 201 and 202 may display content recommendation information received through a display unit.

In one embodiment, the first device 100 may receive first log information from the external devices 201 and 202 using short-range communication, and send the first log information and the second log to the server 300. information can be transmitted. Also, the server 300 may transmit content recommendation information to the first device 100 and the external devices 201 and 202 using short-range communication.

In an embodiment, the short-range communication technology may include at least one of near-field communication (NFC), Wi-Fi, Bluetooth, infrared (IR), and Wi-Fi-direct.

In one embodiment, mobile device 201 may be a master device and tablet 202 may be a slave device.

7 is a block diagram illustrating a configuration of the first device 100 for providing content recommendation information, according to an exemplary embodiment.

Referring to FIG. 7 , the first device 100 may include a communication unit 110 , a control unit 120 and a display unit 130 .

The display unit 130 converts the video signal, data signal, OSD signal, control signal, etc. processed by the controller 120 to generate a driving signal. The display unit 130 may be implemented as a PDP, LCD, OLCD, flexible display, or the like, and may also be implemented as a 3D display. Also, the display unit 130 may be configured as a touch screen and used as an input device other than an output device.

According to an embodiment, the display unit 130 may display a content list including at least one piece of content.

The control unit 120 according to an embodiment may process and input an image signal to the display unit 130 . Accordingly, an image corresponding to the corresponding image signal may be displayed on the display unit 130 .

The controller 120 according to an embodiment may include a profile generator (not shown) that creates a user profile based on the first log information and the second log information. The control unit 120 may include a keyword detection unit (not shown) and a recommendation information generator (not shown).

The controller 120 may detect a recommended keyword based on the appearance frequency of keywords included in the first log information and the second log information. The recommended keyword is a keyword that can reflect the user's disposition or preference. The controller 120 compares the recommended keyword with content information and generates content recommendation information based on content including the recommended keyword in the content information. Content information may include a name of the content, meta information, and a description of the content.

In one embodiment, the control unit 120 may include a keyword collection unit (not shown) for collecting keywords from the first log information and the second log information, and keywords that do not reflect the user's content selection preference among the collected keywords. It may include a filtering unit (not shown) that filters out and leaves only recommended keywords, and a weighting unit (not shown) that allocates weights to recommended keywords according to predefined weight criteria.

In one embodiment, a user profile may include one or more suggested keywords.

In one embodiment, the controller 120 may generate content recommendation information including at least one recommended content based on a user profile.

In one embodiment, the communication unit 110 includes a receiving unit (not shown) capable of receiving first log information from the external device 200 and a transmission unit capable of transmitting content recommendation information to the external device 200 (not shown). not) may be included.

In one embodiment, the receiver may perform handshaking with an external device. For example, the external device may transmit a synchronization signal to the first device 100, and the first device 100 may transmit an acknowledgment signal to the external device in response thereto.

In one embodiment, the communication unit 110 may use short-range communication.

In an embodiment, the short-range communication technology may include at least one of near-field communication (NFC), Wi-Fi, Bluetooth, infrared (IR), and Wi-Fi-direct.

In one embodiment, the first device 100 may further include a user input unit (not shown) for receiving user login information. The first device 100 may receive only first log information related to a specific user from log information stored in an external device by using user login information. Similarly, the first device 100 may use only the second log information related to a specific user from among the log information stored in the storage unit by using the user login information. Log information related to a specific user may include a search history performed by the specific user using the first device or an external device, a browsing record, a content playback list, and the like. When the first device 100 generates a user profile based only on log information related to a specific user, it may create a personalized user profile. When the first device 100 generates content recommendation information based on a personalized user profile, it may generate content recommendation information reflecting only content preferences of a specific user.

In one embodiment, the first device 100 may further include a storage unit (not shown) capable of storing at least one of first log information received from an external device, user profile, and content recommendation information.

8 is a block diagram illustrating a configuration of the first device 100 for providing content recommendation information according to an exemplary embodiment.

Referring to FIG. 8 , the first device 100 according to an embodiment includes a communication unit 110, a control unit 120, an output unit including a display unit 130 and an audio output unit 140, and a sensing unit 150. ), an input/output unit 160, a storage unit 170, and a power supply unit 180.

Details about the control unit 120, the display unit 130, and the communication unit 110 that are the same as those described with reference to FIG. 7 will be omitted in FIG.

The communication unit 110 may connect the first device 100 to an external device under the control of the control unit 120 . The control unit 120 may transmit/receive to/from an external device connected through the communication unit 110, download an application from the external device, or perform web browsing. The communication unit 110 may include a combination of wireless LAN (not shown), Bluetooth (not shown), and wired Ethernet (Ethernet, not shown) corresponding to the performance and structure of the display device. The communication unit 110 may receive a control signal under control of the control unit 120 . The control signal may be implemented as a Bluetooth type, an RF signal type, or a WiFi type.

The control unit 120 controls the overall operation of the first device 100 and the flow of signals between internal components of the first device 100, and performs functions of processing data. The control unit 120 may execute the OS (Operation System) and various contents stored in the storage unit 170 when there is a user's input or when a pre-set and stored condition is satisfied.

The control unit 120 includes a RAM (not shown) used as a storage area for storing signals or data input from the outside of the first device 100 or corresponding to various tasks performed in the first device 100, It may include a ROM (not shown) and a processor (not shown) in which a control program for controlling the first device 100 is stored.

The processor may include a graphic processing unit (not shown) for graphic processing corresponding to video. The processor may be implemented as a system on chip (SoC) in which a core (not shown) and a GPU (not shown) are integrated. The processor may include single core, dual core, triple core, quad core, and multiple cores.

Also, the processor may include a plurality of processors. For example, the processor may be implemented as a main processor (not shown) and a sub processor operating in a sleep mode.

In this embodiment, the term “control unit of the first device” includes a processor, ROM, and RAM.

The audio output unit 140 outputs audio included in the broadcast signal received under the control of the control unit 120 . The audio output unit 140 may output audio (eg, voice, sound) input through the communication unit 110 or the input/output unit 160 . Also, the audio output unit 140 may output audio stored in the storage unit 170 under the control of the control unit 120 . The audio output unit 140 may include at least one of a speaker, a headphone output terminal, or a Sony/Philips Digital Interface (S/PDIF) output terminal. The audio output unit 140 may include a combination of a speaker, a headphone output terminal, and a S/PDIF output terminal.

The sensor 150 detects a user's voice, a user's image, or a user's interaction.

The input/output unit 160 provides video (eg, motion pictures, etc.), audio (eg, voice, music, etc.) and additional information (eg, video) from the outside of the image display device under the control of the control unit 120. , EPG, etc.) and the like are received. The input/output unit 160 includes a high-definition multimedia interface port (not shown), a component jack (not shown), a PC port (not shown), and a USB port (USB port, not shown). The input/output unit 160 may include a combination of an HDMI port, a component jack, a PC port, and a USB port.

It will be easily understood by those skilled in the art that the configuration and operation of the input/output unit 160 can be implemented in various ways according to embodiments.

The storage unit 170 may store various data, programs, or applications for driving and controlling the first device 100 by the control unit 120 . The storage unit 170 is an input/output corresponding to driving of the display unit 130, the audio output unit 140, the power supply unit 180, the communication unit 110, the sensing unit 150, and the input/output unit 160. signal or data can be stored. The storage unit 170 is for providing a control program for controlling the first device 100 and the control unit 120, an application first provided by a manufacturer or downloaded from the outside, a GUI (Graphical User Interface) related to the application, and a GUI. Objects (eg, image text, icons, buttons, etc.), user information, documents, databases, or related data may be stored.

In one embodiment, the term “storage unit” refers to the storage unit 170, a ROM, RAM, or a memory card (eg, micro SD card, USB memory, not shown) mounted in the first device 100 of the controller. not included). Also, the storage unit 170 may include a non-volatile memory, a volatile memory, a hard disk drive (HDD), or a solid state drive (SDD).

The power supply unit 180 supplies power input from an external power source to components inside the first device 100 under the control of the control unit 120 . In addition, the power supply unit 180 may supply power output from one or more batteries (not shown) located inside the first device 100 to internal components under the control of the control unit 120.

9 is a flowchart illustrating a process of generating content recommendation information by a first device according to an exemplary embodiment.

The first device 100 according to an embodiment may detect a recommended keyword based on the frequency of keywords in the log information (S910).

For example, the first device 100 may detect a recommended keyword based on the appearance frequency of the keyword included in the first log information and the second log information. The first device 100 transmits the first log information and the second log information to (1) Full text Unigrams including body text from which html tags are removed on each web page; (2) Title Unigrams including a tag with the word <title> on the html page; (3) Metadata Description Unigrams with an arbitrary <meta name=”description”> tag inside the content; (4) Metadata Keywords Unigrams with arbitrary <meta name=”keywords”> tags inside content; (5) Extracted Terms, which includes a set of keywords extracted from web pages and URLs visited by users; and (6) at least one of Noun Phrases extracted from text taken from each web page or divided using a sentence splitter or tokenization script.

According to an embodiment, the control unit 120 of the first device may perform filtering to filter out keywords that do not reflect the user's content selection preference. To this end, the controller 120 may use known filtering techniques such as WorldNet Dictionary filtering and Google N-gram filtering.

According to an embodiment, the controller 120 of the first device may allocate weights to filtered keywords or non-filtered keywords. The weight assignment algorithm may include TF weighting, TF-IDF weighting, BM25, and a combination thereof.

TF weighting is a weight value based on the frequency of occurrence of terms, and can be expressed by the following equation.

TF _ij = f _ij / max _k

In the above equation, f _ij refers to the frequency of occurrence of term i in the j-th document among N documents. The weight value TF _ij can be calculated by dividing f _ij by the frequency of occurrence (max _k ) of the most frequent term. In this case, only the frequency of appearance of the most frequently appearing term excluding stop words may be max _k . TF _ij of the term that appears most frequently in document j is determined to be 1, and TF _ij of the remaining terms in document j is determined to be less than 1.

TF-IDF weighting is a weight value that indicates how important a specific word is in a document set with multiple documents. TF (Term Frequency) is a value indicating how often a specific word appears in a document. DF (Document frequency) is a value indicating how often a specific word appears in a document set. The reciprocal of DF is IDF (Inverse document frequency). TF-IDF is the product of TF and IDF. The IDF is determined by the nature of the document set. For example, the word 'atom' is rare in general documents, so it can have a high IDF value and become a key word in a document. On the other hand, since this word becomes a cliche in a document set that collects documents about atoms, other words that can be distinguished by subdividing each document get a high weight. In the case of TF, it can be obtained as the total frequency of occurrence of the corresponding word in the document. If f(t,d) is the total frequency of word t in a document, the simplest way to calculate TF(t,d) can be expressed as TF(t,d)=f(t,d). Other methods of calculating TF values include the following.

- Boolean frequency: TF(t,d)=1 or 0, (1 if t occurs at least once in d, otherwise 0);

;- log scale frequency: TF(t,d)=

;

- Incremental frequency: Adjusts the frequency value of words according to the length of the document.

TF(t,d)=0.5 +

The inverse document frequency (IDF) is a value indicating how often a particular word appears in a given document set. It can be obtained by taking the log after dividing the total number of documents included in the document set by the number of documents including the word.

IDF(t,D)=

- |D|: total number of documents included in the document set

D : t

d}|: 단어 t가 포함된 문서의 수. (단어가 전체 문서 안에 존재하지 않을 경우 이는 분모가 0이 되는 결과를 가져온다. 이를 방지하기 위해 ‘1 + |{d

D : t

d}|’로 쓰는 것이 일반적이다.)- |{d

D: t

d}|: The number of documents containing the word t. (If a word does not exist in the entire document, this results in the denominator being 0. To prevent this, '1 + |{d

D: t

d}|' is common.)

TF-IDF is expressed as:

TF-IDF (t,d,D) = TF(t,d) * IDF(t,D)

The higher the TF (word frequency) within a specific document, the higher the TF-IDF value when there are fewer documents including the word among all documents included in the document set. Therefore, by using the TF-IDF value, it is possible to obtain the effect of filtering out words commonly appearing in all documents.

BM25 weight is given by the following formula.

w _p BM25 (ti) =

where N represents the number of documents on the web that can be estimated using any N-Gram corpus tool. nti is the term ti Indicates the number of documents in the corpus containing . R represents the number of documents included in the browsing history. And rti represents the number of documents in the browsing history that contain the term ti.

Although only TF weighting, TF-IDF weighting, and BM25 have been described for weight allocation algorithms, it is not limited thereto and weights can be allocated using other algorithms or methods.

The first device 100 according to an embodiment may generate a user profile including at least one of recommended keywords, a URL of a web page visited by the user, the number of URLs, and a user's search word list.

The storage unit 170 of the first device 100 according to an embodiment may store a user profile. The first device 100 may update the stored user profile based on at least one of first log information and second log information.

A user profile generation method according to an embodiment may include, but is not limited to, relevance feedback, genetic algorithms, neural networks, and the Bayesian classifier.

The first device 100 according to an embodiment may generate content recommendation information based on content including a recommendation keyword in content information (S920).

Content information according to an embodiment may include a name of the content, meta data, and a description of the content.

The first device 100 according to an embodiment may compare content information and recommended keywords. When content information includes a recommended keyword, the first device 100 may set the corresponding content as recommended content.

Content recommendation information according to an embodiment may include at least one recommended content.

10 is a diagram illustrating an example of a process of generating content recommendation information by a first device according to an embodiment.

Referring to FIG. 10 , a user profile according to an embodiment includes recommended keywords 1010 such as 'Skype' and 'Football and Europe'.

The first device 100 may compare the recommended keyword and the name of the content. For example, the first device 100 may determine whether 'Skype' is included in the name of the content. When the name of the content includes a recommended keyword, the first device 100 may set the corresponding content as recommended content. As shown, when the recommended keyword matches the name of an application 1020 called 'Skype', the first device 100 may set the corresponding application 1020 as recommended content.

If the name of the content does not include the recommended keyword, the first device 100 compares the recommended keyword with description or meta information of the content. As shown, the recommended keyword 'Football and Europe' is not included in the name of the application 1030 called 'Goal', but is included in the description of the application 1030. Accordingly, the first device 100 may set the application 1030 named 'Goal' as the recommended content.

The first device 100 according to an embodiment may generate content recommendation information based on recommended content.

11 is a flowchart illustrating a method in which a first device receives user log-in information, generates content recommendation information, and provides the content recommendation information, according to an exemplary embodiment.

Referring to FIG. 11 , the first device 100 and the second device 200 perform handshaking. For example, the second device transmits a synchronization signal to the first device 100 (S1110). The first device 100 transmits an acknowledgment signal to the second device 200 in response to the synchronization signal (S1120).

The first device 100 may receive user 1 log-in information through the user input unit (S1130). The first device 100 receives first log information related to user 1 from log information stored in the second device 200 based on user 1 login information (S1140). The first device 100 generates content recommendation information based on the first log information and second log information related to user 1 among its own log information (S1150). Log information related to User 1 may include a search record performed by User 1 through the first device 100 or the second device 200, a content playlist, and a browsing record. When the first device generates content recommendation information based only on log information related to user 1, it may provide personalized content recommendation information to user 1.

The first device 100 may transmit content recommendation information to the second device 200 (S1160). The first device 100 and the second device 200 may display content recommendation information through the display unit (S1170 and S1180).

In one embodiment, the first device 100 may generate content recommendation information based only on the first log information received from the second device 200 .

In one embodiment, the first log information is a cache file stored in the second device 200, a cookie, a search record, a download record, a search record, content stored in the second device 200, and at least one content in the second device. At least one data related to user 1 may be included among the data required to execute . In addition, the second log information includes cache files stored in the first device 100, cookies, search records, download records, search records, content stored in the first device 100, and at least one content in the first device 100. At least one data related to user 1 may be included among the data required to execute .

In one embodiment, the first device 100 may use short-range communication technology to receive the first log information from the second device 200 .

In an embodiment, the short-range communication technology may include at least one of near-field communication (NFC), Wi-Fi, Bluetooth, infrared (IR), and Wi-Fi-direct.

In one embodiment, the first device 100 and the second device 200 may be included in a home network or Internet of Things (IOT).

In one embodiment, the content may include at least one of applications, books, music, AV data, services, games, multimedia, videos, calendars, schedules, preferences, and user-accessible data.

In one embodiment, the first device 100 and the second device 200 may store content recommendation information in the storage unit 170 .

In one embodiment, the first device 100 and the second device 200 may control the display unit 130 based on content recommendation information.

The first device 100 according to an embodiment may control the display unit based on content recommendation information. For example, the first device may display the content included in the content recommendation information to be distinguished from the content not included in the content recommendation information on the display unit. For example, the first device 100 may set the displayed position or size of content included in the content recommendation information and content not included in the content recommendation information to be different.

If the recommended content included in the content recommendation information is not stored in the first device 100, the first device 100 according to an embodiment may control download of the recommended content from an external server.

12 is a diagram illustrating an example in which the first device 100 receives user log-in information according to an embodiment.

In one embodiment, the first device 100 may display a user interface (GUI) screen 1200 through which user login information may be input. For example, a user may select an icon that matches his/her user login information on the user interface screen. As shown, user 1 may click the icon marked 'user 1', and user 2 may click the icon marked 'user 2' to input user login information. If you are a new user, you can create new user login information by clicking the icon marked “new user”.

The first device 100 may receive first log information related to a logged-in user by using user log-in information. The first device 100 may create a user profile using second log information related to a logged-in user among the first log information and the second log information stored in the first device 100 .

In one embodiment, the input tool for selecting the icon may include a remote control, mouse, touch pad, keyboard, button or touch screen.

13 is a diagram illustrating an example of a method of displaying ( 1320 ) content recommendation information by a first device, according to an embodiment.

Referring to FIG. 13 , the smart TV 100 may receive application information stored in the mobile device 200 and display application recommendation information for user 1 (1320). The smart TV 100 may receive information (first log information) that an application called 'baseball relay' 1310 is stored in the mobile device 200 . At this time, the smart TV may detect the word 'baseball' as a recommended keyword. The smart TV 100 generates application recommendation information for User 1 based on the recommended keyword. The application recommendation information may include recommended applications such as games related to 'baseball', terminology, baseball field reservations, and baseball commentary. The display unit 130 of the smart TV 100 may display the recommended application to be distinguished from other applications displayed on the display unit 130 . As shown, the display unit 130 may display the 'user 1 recommended latest application' and the 'latest recommended application' by making the displayed area different. FIG. 13 shows an example in which the display unit of the smart TV 100 displays the 'user 1 recommended latest application' on the upper side of the display area and displays the 'latest recommended application' on the lower side of the display area, thereby distinguishing them. In FIG. 13 , the first device is illustrated as a smart TV and the second device as a mobile device, but the first device and the second device are not limited thereto.

In one embodiment, the first device 100 may differently display content included in the content recommendation information and content not included through graphic adjustment. Graphic adjustments may include highlighting, resizing, positioning, selection, placement, and grouping.

14 is a diagram illustrating an example of a method of displaying 1420 content recommendation information by a first device, according to an embodiment.

Referring to FIG. 14 , the smart TV 100 may receive information (first log information) indicating that an application called 'baseball relay' 1410 is stored in the mobile device 200 . At this time, the smart TV may detect the word 'baseball' as a recommended keyword. The smart TV 100 generates application recommendation information for User 1 based on the recommended keyword. The application recommendation information may include recommended applications such as a game related to 'baseball', a glossary, a baseball field reservation, and a baseball commentary. The display unit 130 of the smart TV 100 may display the recommended application to be distinguished from other applications displayed on the display unit 130 . As shown, the display unit 130 may display the 'user 1 recommended latest application' and the 'latest recommended application' by making the displayed area different. 14 illustrates an example in which the display unit of the smart TV 100 displays 'user 1 recommended latest application' on the left side of the display area and displays 'latest recommended application' on the right side of the display area, thereby distinguishing them. In FIG. 14 , the first device is illustrated as a smart TV and the second device as a mobile device, but the first device and the second device are not limited thereto.

15 is a diagram illustrating an example of a method of displaying ( 1520 ) content recommendation information by a first device, according to an embodiment.

Referring to FIG. 15 , the smart TV 100 may receive information (first log information) indicating that an application called 'baseball relay' 1510 is stored in the mobile device 200 . At this time, the smart TV 100 may detect the word 'baseball' as a recommended keyword. The smart TV 100 generates application recommendation information for User 1 based on the recommended keyword. The application recommendation information may include recommended applications such as a game related to 'baseball', a glossary, a baseball field reservation, and a baseball commentary. The display unit 130 of the smart TV 100 may display the recommended application to be distinguished from other applications displayed on the display unit 130 . As shown, the display unit 130 enlarges and displays 'baseball game', 'baseball field reservation', 'baseball commentary', and 'baseball terminology' included in the recommended application at a first magnification, and the display unit ( 130) may be distinguished by reducing and displaying the remaining applications at a second magnification determined based on the first magnification. In this case, the ratio between the first magnification and the second magnification does not necessarily have to be a fixed ratio, and the ratio between the first magnification and the second magnification may vary depending on the user and the surrounding environment. In FIG. 15 , the first device is illustrated as a smart TV and the second device as a mobile device, but the first device and the second device are not limited thereto.

16 is a diagram illustrating an example in which the first device outputs content recommendation information as audio through an audio output unit (1620), according to an embodiment.

Referring to FIG. 16 , the smart TV 100 may provide application recommendation information through the audio output unit 140 (1620). For example, the smart TV 100 may output application information included in the 'user 1 recommended latest application' as audio through the audio output unit 140 . Through this, the user can be provided with application recommendation information even when the user is far from the smart TV 100 or cannot recognize information through the display unit 130 of the smart TV 100 . The application information may include an application name, meta information, and a description of the application.

According to an embodiment, the smart TV 100 may output application information through the audio output unit 140 and simultaneously display content recommendation information through the display unit 130 . However, the display and the audio output do not necessarily have to be provided at the same time and may vary depending on the user's input or the surrounding environment. In FIG. 16 , the first device is illustrated as a smart TV and the second device as a mobile device, but the first device and the second device are not limited thereto.

17 is a diagram illustrating an IOT scenario in which content recommendation information is generated based on log information received from a plurality of second devices 201 and 202 according to an embodiment.

Referring to FIG. 17 , the microwave oven 100 receives log information including search records from the tablet 201 and/or the mobile phone 202 . For example, the log information may include a record of a user searching for 'pizza recipe' or 'how to make pizza in a microwave oven' using the tablet 201 and/or the mobile phone 202 . The control unit 120 of the microwave oven 100 generates a recommended cooking mode based on the log information and a cooking mode frequently used by the user among a plurality of cooking modes stored in the storage unit 170 of the microwave oven 100. do.

In one embodiment, the microwave oven 100 may display a recommended cooking mode to the user or automatically set the cooking mode.

In one embodiment, the microwave oven 100 may generate a recommended cooking mode based only on log information received from the tablet 201 and/or the mobile phone 202 .

In one embodiment, the microwave oven 100 may display a recommended cooking mode through the display unit 130 .

In one embodiment, the microwave oven 100 may output information about the recommended cooking mode as audio through the audio output unit 140 .

An image display method according to an embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the medium may be those specially designed and configured for the present invention or those known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler.

Although the embodiments have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concept of the present invention defined in the following claims are also within the scope of the present invention. belongs to

Claims (17)

A method of operating a first device through which a plurality of users can log in,
Receiving login information of a first user among the plurality of users;
receiving first log information of the first user from among user log information stored in a second device, based on the log-in information of the first user;
obtaining second log information of the first user from among log information of the plurality of users stored in the first device, based on the log information of the first user;
generating personalized content recommendation information for the first user based on the first log information and the second log information; and
Including; displaying the content recommendation information;
A method of operating the first device. According to claim 1,
The first log information may include at least one of cache files, cookies, search records, download records, search records, content stored in the second device, and data necessary for executing at least one content in the second device. contains one,
The second log information may include at least one of cache files, cookies, search records, download records, search records stored in the first device, content stored in the first device, and data necessary for executing at least one content in the first device. A method of operating a first device including one. delete According to claim 1,
The content recommendation information,
Include recommended content;
The step of displaying the content recommendation information,
A method of operating a first device comprising the step of distinguishably displaying first content corresponding to the recommended content and second content not corresponding to the recommended content among content displayed on a display unit. ◈Claim 5 was abandoned when the registration fee was paid.◈ According to claim 4,
The step of displaying the first content and the second content to be distinguished from each other,
and enlarging and displaying the first content at a first magnification, and reducing and displaying the second content at a second magnification. ◈Claim 6 was abandoned when the registration fee was paid.◈ According to claim 4,
The step of displaying the first content and the second content to be distinguished from each other,
and displaying the first content on a first area and displaying the second content on a second area. According to claim 1,
Generating the content recommendation information,
detecting a recommended keyword among the keywords based on the appearance frequency of the keywords included in the first log information and the second log information; and
Comparing the recommended keyword and content information;
Based on a comparison result, a method of operating a first device comprising generating the content recommendation information. According to claim 1,
The method,
The operating method of the first device further comprising transmitting the content recommendation information to the second device. In a first device through which a plurality of users can log in,
a user input unit for receiving login information of a first user among the plurality of users;
a communication unit configured to receive first log information of the first user from among user log information stored in a second device, based on the log-in information of the first user;
Based on the first log information and the login information of the first user, based on the second log information of the first user obtained from the log information of the plurality of users stored in the first device, to the first user a control unit generating personalized content recommendation information; and
A first device comprising a display unit displaying the content recommendation information. According to claim 9,
The first log information may include at least one of cache files, cookies, search records, download records, search records, content stored in the second device, and data necessary for executing at least one content in the second device. contains one,
The second log information may include at least one of cache files, cookies, search records, download records, search records stored in the first device, content stored in the first device, and data necessary for executing at least one content in the first device. A first device comprising one. delete According to claim 9,
The content recommendation information,
Include recommended content;
the display unit,
A first device for displaying first content corresponding to the recommended content and second content not corresponding to the recommended content among the contents displayed on the display unit to be distinguished from each other. ◈Claim 13 was abandoned when the registration fee was paid.◈ According to claim 12,
the display unit,
A first device that enlarges and displays the first content at a first magnification and reduces and displays the second content at a second magnification. ◈Claim 14 was abandoned when the registration fee was paid.◈ According to claim 12,
the display unit,
A first device that displays the first content in a first area and the second content in a second area. According to claim 9,
The control unit,
Based on the appearance frequency of keywords included in the first log information and the second log information, a recommended keyword is detected from among the keywords, the recommended keyword is compared with information about content, and based on the comparison result, A first device generating the content recommendation information. According to claim 9,
The communication department,
A first device that transmits the content recommendation information to the second device. ◈Claim 17 was abandoned when the registration fee was paid.◈ According to claim 9,
The first device,
The first device further comprising a storage unit capable of storing the content recommendation information.

Images