KR101048100B1 - Intelligent service providing device and method - Google Patents

Abstract

An intelligent service providing device and a method thereof are disclosed. The intelligent service providing method includes detecting preference information of a user based on internet access information and storing the detected preference information; Receiving a search keyword from the user; Extracting a preference keyword related to a search keyword input from the preference information; Transmitting the input search keyword and the preferred keyword to a server; And receiving and displaying a search result based on the search keyword and the preferred keyword from the server, thereby automatically detecting the user's preference information and providing a customized information providing service to the user.

Preferences, search

Description

Intelligent service offer device and method thereof

The present invention relates to an intelligent service providing device, and more particularly, to a device and a method for providing an intelligent service based on preference information of a user.

Today's advances in network and multimedia technologies enable users to get the content and information they need, anywhere, anytime, including news, movies, music, or text.

However, users can spend a lot of time searching for the information they want by generating a variety of contents and information.

For example, when a user inputs a keyword to find desired information, numerous search results related to the keyword are output, which may cause inconvenience to the user to re-search the search result based on the keyword.

On the other hand, each of the recent users can directly set the desired category through RSS (really simple syndication) service by the text, audio, And video contents can be automatically provided.

However, under the RSS service, it is inconvenient for the user to designate a category that the user wants to receive from among contents including a plurality of categories.

In other words, there is a need for a method that can automatically grasp the user's preference information and provide a customized information providing service in a situation where information and contents are generated innumerably.

Accordingly, a technical problem to be achieved by the present invention is to provide an intelligent service providing device and a method for automatically providing an intelligent service based on user preference information.

According to an aspect of the present invention, there is provided a method for providing an intelligent service based on a user device, the method comprising: detecting preference information of a user based on internet access information and storing the detected preference information; Receiving a search keyword from the user and transmitting a search keyword related to the received search keyword among the received search keyword and the preference information to a server; And receiving a search result based on the search keyword and the preferred keyword from the server.

According to an aspect of the present invention, there is provided a method for providing an intelligent service based on a user device, the method comprising: detecting preference information of a user based on internet access information and storing the detected preference information; Receiving a search keyword from the user and transmitting the received search keyword to a server; And receiving a search result based on the search keyword from the server and rearranging the received search result based on the preference information.

The Internet access information may include at least one of an internet site accessed by the user, a searched keyword, and a clicked item.

The method for providing an intelligent service based on the user device may further include setting or updating an internet access environment of a device used by the user based on the preference information.

The Internet connection environment of the device may include at least one of home page information and bookmark information of the web browser of the device.

In an intelligent service providing method based on a user device for achieving the technical problem, the preference information of the user is detected based on user device usage information including program driving information or content usage information over time, and the detected preference information is detected. Storing; And providing the user with a program or content expected to be used by the user based on the preference information according to the time.

The content may include at least one of a movie, music, and text executed through the program.

The program may include at least one of an internet browser, a word processor, and a media player.

The user device-based intelligent service providing method may further include: checking whether the program or the content is executed by the user through a predetermined window before providing the user according to the time; And the program or the content in response to an execution agreement received from the user.

The preference information may be detected by at least one algorithm among collaborative filtering and association rule finding.

An intelligent service providing device for solving the technical problem may include: a user watching unit detecting preference information based on program driving information of a user or information on at least one content executed through the program; And an intelligent service providing unit which provides an intelligent service to the user based on the preference information, wherein the intelligent service includes: providing keyword search results or RSS information received from a server, providing a program that the user is expected to run, And providing contents that the user is expected to play.

The program driving information may include Internet access information through a web browser, and the Internet access information may include at least one of an Internet site accessed by the user, a searched keyword, and a clicked item.

The content may include at least one of a movie, music, and text executed through the program.

The intelligent service provider, before providing the intelligent service to the user, asks the user whether to execute the program or the content through a predetermined window and responds to the execution agreement received from the user in response to the execution agreement received from the user. You can run the content.

The preference information may be detected by at least one algorithm among collaborative filtering and association rule finding.

The user watching unit may include: a user behavior collecting unit collecting collection information including program driving information of the user or information on the at least one content; A user behavior analyzer configured to analyze a driving pattern of the program or a usage pattern of the at least one content based on the collected information; And a preference information detector configured to detect preference information of the user based on analysis information analyzed by the user behavior analyzer.

As described above, the intelligent service providing device and the method according to an embodiment of the present invention can automatically grasp the user's preference information and provide a customized information providing service to the user (so-called 'intelligent service'). .

As described above, the intelligent service providing device and method thereof according to an embodiment of the present invention are stored, managed and extracted only in the user device, and thus the preference information is not leaked to the outside. It has a protective effect.

In order to fully understand the present invention, the operational advantages of the present invention, and the objects achieved by the practice of the present invention, reference should be made to the accompanying drawings which illustrate preferred embodiments of the present invention and the contents described in the accompanying drawings. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Like reference numerals in the drawings denote like elements.

1 is a block diagram of an intelligent service providing device according to an exemplary embodiment of the present invention, and FIG. 2 is a block diagram of a user watching unit of FIG. 1. 1 and 2, the intelligent service providing device 10 may include a storage unit 12, a user watching unit 14, an intelligent service providing unit 16, and a user program driver 18, for example. , An internet interface (web browser)).

Each of the components constituting the intelligent service providing device 10 may be implemented as S / W, H / W, or a combination thereof.

The storage unit 12 includes preference information detected by the user watching unit 14, Internet connection environment setting information set or updated by the intelligent service providing unit 16, and a program collected by the user program driver 18. The driving information and the information on the content played by the user program can be stored.

The user watching unit 14 may detect the preference information based on program driving information or information on at least one content executed through the user driving program 16.

The user watching unit 14 may include a user behavior collecting unit 31, a user behavior analyzing unit 43, and a preference information detecting unit 55 as shown in FIG. 2.

The user behavior collection unit 31 may collect the collection information including the program driving information of the user or information on at least one content executed through the program, and the program driving behavior collection module 33 and the program-specific details. It may include a behavior collection module 35.

In this case, the user behavior collecting unit 31 may further include a web browsing behavior collecting unit 37, a document writing behavior collecting unit 39, and a multimedia playing behavior collecting unit 41 to collect detailed behaviors for each program. .

The program driving activity collection module 33 may be configured to execute programs (eg, Internet browser, word processor, media player, etc.) that are run in a computer system (eg, PC, laptop, PDA, etc.) including the intelligent service providing device 10. Information about Outlook Express, etc.).

The detailed action collection module 35 for each program may collect information about the actual work or information used by the user by using the program collected by the program driving action collection module 33.

For example, when the user uses a first program (for example, a web browser), the detailed action collection module 35 for each program uses the web browsing collection unit 37 to access the Internet site, the searched keyword, and the click. At least one of the items may be collected as collection information.

In this case, the web browsing collection unit 37 may be plugged in to the web browser 16 to collect all actions that the user works (or surfs the Internet) through the web browser 16.

In addition, when the user uses a second program (eg, a word processor), the detailed action collection module 35 for each program uses the document creation behavior collecting unit 39 to perform content (eg, content that the user works with the word processor). In addition, information about text documents (such as novels and resumes) can be collected as collected information.

In this case, the document creation activity collecting unit 39 may be plugged in to the word processor to collect all the actions that the user works through the word processor.

In addition, when the user uses a third program (for example, a media player), the detailed action collection module 35 for each program uses the multimedia play behavior collecting unit 41 to reproduce content (for example, the content that the user plays through the media player). Information about a movie, music, etc.) can be collected as collection information.

At this time, the multimedia play collection unit 41 may be plugged in to the media player to collect information about the contents played by the user through the media player.

The user behavior analyzer 43 may analyze the driving pattern of the program or the usage pattern for the at least one content based on the collected information collected by the user behavior collector 31.

The user behavior analysis unit 43 may include a program driving pattern analysis module 45 and a usage pattern analysis module 47 for each program.

In this case, the user behavior analysis unit 43 analyzes the driving pattern of the program or the usage pattern of the at least one content, the web browsing pattern analysis unit 49, the document creation pattern analysis unit 51, and the multimedia playback behavior analysis. It may further include a portion 53.

The program driving pattern analysis module 45 analyzes a program usage pattern based on information about programs (eg, an Internet browser, a word processor, a media player, Outlook Express, etc.) collected by the program driving behavior collection module 33. can do.

For example, the program driving pattern analysis module 45 may include any one program (eg, an Internet browser) among programs used in a program usage pattern over time and a computer system (eg, a PC, a notebook, or a PDA). When driven, the driving pattern of another program (eg, media player) driven together by the user may be analyzed.

The usage pattern analysis module 47 for each program may analyze a pattern of actual work or information used by a user using a program analyzed by the program driving pattern analysis module 45.

For example, the usage pattern analysis module 47 for each program may use web browsing-related information collected by the detailed action collection module 35 for each program using the web browsing pattern analysis unit 49 (eg, an Internet site accessed by a user, Based on the searched keyword and at least one of the clicked items, a pattern of information mainly used when the user uses the web browser (eg, the user visits the library library site and searches for a paper mainly related to 'business administration'). ) Can be analyzed.

In addition, the usage pattern analysis module 47 for each program uses the document creation pattern analysis unit 51 to collect information (eg, a long novel, resume writing, etc.) collected by the detailed action collection module 35 for each program. On the basis of this, when the user uses the word processor, the working pattern (for example, the user mainly writes a novel (file name: light and salt.doc) using the word processor) can be analyzed.

In addition, the usage pattern analysis module 47 for each program collects information collected by the detailed action collection module 35 for each program using the multimedia file meta information analysis unit 53 (for example, content played through a media player) Based on the information about the movie, music, etc., the content usage pattern (e.g., the user mainly watches the drama (e.g., 'discrete') using the media player when the user uses the media player) is analyzed. can do.

The preference information detector 55 may detect the preference information based on the program usage pattern analyzed by the program usage pattern analysis module 47 and the pattern of the actual work or the used information using the program.

For example, the preference information detector 55 may be based on a pattern of information (eg, the user visits the Library of Congress library and searches for a paper mainly related to 'business administration') based on a pattern of information mainly used when the user uses the web browser. Therefore, preference information can be detected that is closely related to business management and prefers related papers and books.

Alternatively, the preference information detection unit 55 may be based on a work pattern that the user mainly uses when using a word processor (for example, the user mainly writes a long novel (file name: light and salt.doc) using the word processor). May detect preference information indicating that a feature novel is preferred.

Alternatively, the preference information detecting unit 55 may use the user's drama based on a work pattern that the user mainly uses when the user uses the media player (for example, the user mainly watches the drama (eg, 'discrete') using the media player). It is possible to detect preference information that prefers.

The preference information detector 55 may use at least one of collaborative filtering and association rule finding when detecting preference information, and the preference information is modified by a preference decision input from a user. Can be.

For example, when the preference information detector 55 detects preference information by cooperative filtering, the preference information detector 55 has a pattern with the user based on users having a pattern similar to the user among a plurality of users. The preference information of the users may be detected as the preference information of the user.

In this case, the preference information detector 55 may store patterns and preference information for each of the plurality of users in advance.

In addition, when the preference information detector 55 detects the preference information by finding a federation rule, the preference information detector 55 detects any one of patterns of the user and based on another pattern associated with the detected pattern. Preference information can be created.

The intelligent service provider 16 may provide an intelligent service to the user based on the preference information generated by the user watching unit 14.

In this case, the intelligent service may provide at least one of keyword search results or RSS information received from at least one server 20, program providing that the user is expected to run, and content providing that the user is expected to play. It may include.

For example, the intelligent service provider 16 receives a search keyword from a user and transmits a search keyword related to the search keyword received from the received search keyword and the preference information to the server 20, and the search keyword and the server 20 from the server 20. The search result based on the preferred keyword may be received and provided to the user.

More specifically, the intelligent service provider 16 may search for "30s" and "female" among the preference information detected by the user watching unit 14 when the user inputs "diet" as a search keyword. It can be detected as a related preferred keyword and the " diet ", " 30s ", " female "

In addition, the intelligent service provider 16 transmits the search keyword input from the user to the server 20, receives the search result from the server 20, and rearranges the received search result based on the preference information to the user. can do.

For example, the intelligent service provider 16 transmits a search keyword (eg, the latest movie) input from the user to the server 20, and the search result (eg, mask, evil dead, matrix, love and soul) from the server 20. And the like, and then reorder the received search results based on the preference information (e.g., Action (Matrix)-> Comedy (Mask)-> Melo (Love & Soul)-> Horror (Evil Dead)). Can be.

In addition, the intelligent service provider 16 may provide a customized RSS service corresponding to the preference information from the server 20 (eg, an RSS news server) based on the preference information detected by the user watching unit 14.

For example, when the preference information detected by the user watching unit 14 is in the economic field, the intelligent service provider 16 may be one of the RSS services provided from the server 20 (eg, the RSS news server) (eg, political, economic, Social, sports, etc.) news of the economic field to the user.

In addition, the intelligent service providing unit 16 may automatically provide the user with a program that the user is expected to run based on the preference information detected by the user watching unit 14.

For example, the intelligent service provider 16 may activate the word process at 10 o'clock every morning based on preference information that the user writes the novel through the word process at 10 o'clock in the morning.

In addition, the intelligent service providing unit 16 may automatically provide the user with content that the user is expected to play based on the preference information detected by the user watching unit 14.

For example, the intelligent service provider 16 may automatically provide the chat drama to the user at the time when the chat drama is viewed based on the preference information that the user watches the chat drama through a media player.

In addition, the intelligent service provider 16 may set or update the Internet connection environment of the web browser 18 based on the preference information detected by the user watching unit 14.

That is, the intelligent service provider 16 may set or update at least one of home page information and favorite information of the web browser 18 based on the preference information.

For example, the intelligent service providing unit 16 displays the home page of the web browser 18 at the homepage of the National Assembly Library ('http: //www.nanet.go. kr '), and bookmark list can be configured as a web page related to thesis search.

Alternatively, the intelligent service provider 16 may automatically generate / update the preferred sites (eg, the top 10 of the preferred sites) based on the number of web site accesses during a predetermined period (eg, monthly).

The intelligent service provider 16 may confirm whether the program or the content is executed to the user through a predetermined window before providing various intelligent services based on the preference information. In this case, the intelligent service providing unit 16 may provide the intelligent service in response to the execution agreement received from the user.

For example, FIG. 3 is an example of an intelligent service list provided by the intelligent service providing unit 16 of FIG. 1, and the intelligent service providing unit 16 may determine a predetermined window IT in the display screen TM of the computer system. Can display a list of programs (e.g., activation of a word processor (light and salt.doc)) or a list of contents (appropriate drama 'discrete' view).

In this case, the user may obtain desired information or content by clicking (or selecting) a list in the predetermined window IT.

The platform shown in FIG. 3 is an example of a Graphical User Interface (GUI), and various modifications are possible.

The user program driver 16 (eg, an internet interface (web browser)) communicates with at least one server 20 through an internet network and provides the user with information received from the at least one server 20.

In the embodiment of the present invention, although the user program driver 16 is described as a web browser, the user program driver 16 may be a word processor, a media player, or the like.

4 is a flowchart illustrating a method for providing an intelligent service based on a user device according to an exemplary embodiment of the present invention. 1 and 4, when the user device (eg, the PC 10) executes the intelligent service providing device 10 or a program for executing the intelligent service providing method based on the user device (S10), the user watching unit 14 collects and stores collected information on the user's behavior (S12).

The user watching unit 14 analyzes the pattern based on the collected information collected by the step S12 and extracts the preference information based on the analysis result (S14).

When the user executes the web browser 18 (S16) and the user inputs a search keyword through the web browser 18 (S18), the intelligent service provider 16 receives and receives a search keyword from the user. The preferred keyword related to the received search keyword among the received search keyword and preference information is transmitted to the server 20 (S20).

 The server 20 performs a search based on the search keyword and the preferred keyword (S22), provides the search result to the user device 5 (S24), and the user device 5 displays the search result to the user ( S26).

5 is a flowchart illustrating a method for providing an intelligent service based on a user device according to an exemplary embodiment of the present invention. 1 and 5, when the user device (eg, the PC 10) executes the intelligent service providing device 10 or a program for executing the intelligent service providing method based on the user device (S10), the user watching unit 14 collects and stores collected information on the user's behavior (S12).

The user watching unit 14 analyzes the pattern based on the collected information collected by the step S12 and extracts the preference information based on the analysis result (S14).

When the user executes the web browser 18 (S16) and the user inputs a search keyword through the web browser 18 (S18), the search keyword is transmitted to the server 20 (S30).

 The server 20 performs a search based on the search keyword (S32), transmits the search result to the user device 5 (S34), and the intelligent service provider 16 rearranges the search result based on the preference information. In operation S36, the rearranged results are displayed in operation S38.

6 is a flowchart illustrating a method for providing an intelligent service based on a user device according to an exemplary embodiment of the present invention. 1 and 6, the user watching unit 14 detects preference information of the user based on user device usage information including program driving information or content usage information over time and stores the detected preference information. Stored in the unit 12 (S42).

The intelligent service provider 16 provides the user with a program or content expected to be used by the user based on the preference information according to the time (S44).

As described above, in the intelligent service providing method according to an exemplary embodiment of the present invention, since the user's preference information is stored, managed, and extracted only in the user device 10, the preference information is not leaked to the outside, so the privacy of the individual is improved. There is a protective effect.

The present invention can also be embodied as computer-readable codes on a computer-readable recording medium. The computer-readable recording medium includes all kinds of recording devices in which data that can be read by a computer system is stored.

Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disks, optical data storage devices, and the like, which are also implemented in the form of carrier waves (eg, transmission over the Internet). It also includes.

The computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion. And functional programs, codes and code segments for implementing the present invention can be easily inferred by programmers in the art to which the present invention belongs.

Although the present invention has been described with reference to one embodiment shown in the drawings, this is merely exemplary, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

BRIEF DESCRIPTION OF THE DRAWINGS In order to better understand the drawings cited in the detailed description of the invention, a brief description of each drawing is provided.

1 is a block diagram of an intelligent service providing device according to an embodiment of the present invention.

FIG. 2 is a block diagram of the user watching unit of FIG. 1.

3 is an example of an intelligent service list provided by the intelligent service provider of FIG. 1.

4 is a flowchart illustrating a method for providing an intelligent service based on a user device according to an exemplary embodiment of the present invention.

5 is a flowchart illustrating a method for providing an intelligent service based on a user device according to an exemplary embodiment of the present invention.

6 is a flowchart illustrating a method for providing an intelligent service based on a user device according to an exemplary embodiment of the present invention.

Claims (17)

delete delete delete delete delete In the intelligent service providing method by a user device, Analyzing user device usage information including at least one of program execution information and content usage information over time; Detecting preference information of the user using the analysis result and storing the detected preference information; Determining a program or content to be executed at a specific time using the preference information; And Executing the determined program or content at the specific time; Program execution information according to the time Includes information about a program executed by the user and its execution time, Content usage information according to the time Intelligent service providing method comprising information on the content used by the user and its use time. The method of claim 6, wherein the content is: An intelligent service providing method comprising at least one of a movie, music, and text executed through the program. The method of claim 6, wherein the program, An intelligent service providing method comprising at least one of an internet browser, a word processor, and a media player. The method of claim 6, wherein the intelligent service providing method is Before the step of executing at the specified time, Confirming whether the program or the content is executed by the user; And Intelligent service providing method further comprising the step of receiving an execution agreement from the user. The method of claim 6, wherein the preference information, An intelligent service providing method detected by at least one algorithm among collaborative filtering and association rule finding. A recording medium on which a program for performing the method of claim 6 is recorded. A user watching unit configured to detect preference information by analyzing user device usage information including at least one of program execution information and content usage information over time; And An intelligent service providing unit for providing an intelligent service to the user by using the preference information, Program execution information according to the time Includes information about a program executed by the user and its execution time, Content usage information according to the time Information about the content used by the user and its use time; The intelligent service, A service for filtering or rearranging keyword search results or RSS information received from a server using the preference information; And An intelligent service providing device comprising at least one of a service to determine and execute a program or content to be executed at a specific time using the preference information. The method of claim 12, wherein the program execution information is Contains information about Internet access through a web browser, The Internet connection information, An intelligent service providing device comprising at least one of an internet site accessed by the user, a searched keyword, and a clicked item. The method of claim 12, wherein the content is: An intelligent service providing device comprising at least one of a movie, music, and text executed through the program. The method of claim 12, wherein the intelligent service providing unit, Before providing the intelligent service to the user, An intelligent service providing device which asks the user whether to execute the program or the content and executes the program or the content in response to an execution agreement received from the user. The method of claim 12, wherein the preference information, An intelligent service providing device detected by at least one of collaborative filtering and association rule finding. The method of claim 12, wherein the user watching unit, A user behavior collecting unit collecting the user device usage information; A user behavior analyzer configured to analyze a usage pattern of the program or a usage pattern of the at least one content based on the user device usage information collected by the user behavior collector; And And a preference information detector for detecting preference information of the user based on the analysis information analyzed by the user behavior analyzer.

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