KR20130054535A - Method, server, terminal, and recording medium for recommending contents list - Google Patents

Method, server, terminal, and recording medium for recommending contents list Download PDF

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KR20130054535A
KR20130054535A KR1020110119955A KR20110119955A KR20130054535A KR 20130054535 A KR20130054535 A KR 20130054535A KR 1020110119955 A KR1020110119955 A KR 1020110119955A KR 20110119955 A KR20110119955 A KR 20110119955A KR 20130054535 A KR20130054535 A KR 20130054535A
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content
information
list
content list
server
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KR1020110119955A
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Korean (ko)
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김재화
함종호
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주식회사 네오위즈인터넷
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    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G—PHYSICS
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q30/0224—Discounts or incentives, e.g. coupons or rebates based on user history
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The present invention relates to a content providing technology, and more particularly, to a method, a server, a terminal, and a recording medium for recommending content with high satisfaction.

Description

How to recommend content list, server, terminal and recording media {METHOD, SERVER, TERMINAL, AND RECORDING MEDIUM FOR RECOMMENDING CONTENTS LIST}

The present invention relates to a content providing technology.

Conventionally, a content providing service that provides content to a user receives a request such as downloading or streaming a specific content and provides the requested specific content to the user.

In some cases, the conventional content providing service does not provide specific content but also provides a function of recommending content.

However, the content recommended to the user according to the content recommendation function provided by the conventional content providing service often includes content that the user does not like. That is, the conventional content providing service may not provide a content recommendation function with high satisfaction.

In this context, it is an object of the present invention to provide a method, server, terminal and recording medium for recommending content with high satisfaction.

In addition, another object of the present invention is not to recommend only one content of high satisfaction, but to recommend a content list determined according to user's preference to a playback order (in the case of music, listening order), a server, a terminal, and a recording medium. To provide.

In order to achieve the above object, in one aspect, the present invention provides a method for recommending a content list, the server comprising: a taste analysis step of generating and outputting content taste information indicating a user's content taste based on user input information; A recommended content searching step of searching for a plurality of recommended contents in a content database based on the output content taste information; A content list generating step of generating a content list including a part or all of the plurality of recommended contents as a playlist according to a set recommendation pattern; And a content list providing step of providing the content list to the user's terminal.

In another aspect, the present invention, a taste analysis unit for generating and outputting content taste information indicating the content taste of the user based on the user input information; A recommended content searching unit searching for a plurality of recommended contents in a content database based on the output content taste information; A content list generator for generating a content list including a part or all of the plurality of recommended contents as a play list according to a set recommendation pattern; And a content list providing unit for providing the content list to the terminal of the user.

In another aspect, the present invention provides a method for recommending a content list by a terminal, comprising: a content list recommendation request step of transmitting content list recommendation request information including user input information to a server; A content list receiving step of receiving, as a play list, a content list in which part or all of a plurality of recommended contents searched from the server based on the user input information are included according to a recommendation pattern; And a content list display step of displaying the content list on the screen.

In another aspect, the present invention, the content list recommendation request unit for transmitting the content list recommendation request information including the user input information to the server; A content list receiving unit configured to receive, as a play list, a content list including a part or all of a plurality of recommended content retrieved from the server based on the user input information according to a recommendation pattern; And a content list display unit for displaying the content list on the screen.

In still another aspect, the present invention provides a recording medium on which a program for executing a method of recommending a content list is recorded, the function of transmitting content list recommendation request information including user input information to a server; A computer program having a function of receiving a content list containing a part or all of a plurality of recommended content retrieved based on user input information according to a recommendation pattern as a play list, and a function of displaying the content list on a screen. Provides a record medium that can be.

As described above, according to the present invention, there is an effect of providing a method, a server, a terminal, and a recording medium for recommending content with high satisfaction.

In addition, according to the present invention, instead of recommending only one content with high satisfaction, a method of recommending a list of contents determined according to user's preference until the playback order (in the case of music, listening order), providing a server, a terminal, and a recording medium. It works.

1 is a diagram illustrating a system for recommending a content list according to an embodiment of the present invention.
2 is a block diagram of a server recommending a content list according to an embodiment of the present invention.
3 is a flowchart illustrating a method in which a server recommends a content list according to an embodiment of the present invention.
4 is a block diagram of a terminal recommending a content list according to an embodiment of the present invention.
5 is a flowchart illustrating a method in which a terminal recommends a content list according to an embodiment of the present invention.
6 is a diagram illustrating a screen related to a content list recommendation function in a terminal for recommending a content list according to an embodiment of the present invention.
7 is a diagram illustrating a screen related to setting a recommendation pattern in a terminal recommending a content list according to an embodiment of the present invention.
8 is a diagram illustrating a screen related to a recommendation pattern change setting in a terminal recommending a content list according to an embodiment of the present invention.

Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. In adding reference numerals to the components of each drawing, it should be noted that the same reference numerals are assigned to the same components as much as possible even though they are shown in different drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In addition, in describing the component of this invention, terms, such as 1st, 2nd, A, B, (a), (b), can be used. These terms are intended to distinguish the constituent elements from other constituent elements, and the terms do not limit the nature, order or order of the constituent elements. When a component is described as being "connected", "coupled", or "connected" to another component, the component may be directly connected to or connected to the other component, It should be understood that an element may be "connected," "coupled," or "connected."

1 is a diagram illustrating a system for recommending a content list according to an embodiment of the present invention.

Referring to FIG. 1, in the content list recommendation according to an exemplary embodiment, the server 100 receives a content list recommendation from the user terminal 110 and provides the content list as a recommendation result.

The "content list recommendation" according to an embodiment of the present invention may provide the user with a plurality of recommended content once searched as a recommendation result, but by applying a method for maximizing the user's satisfaction with the recommendation result. The content list may be generated and provided through processing such as content filtering and / or reordering of the recommended content. At this time, the generated content list is a reproduction list for reproducing a plurality of contents.

The content described herein may be one of a video, music, and the like. In particular, when the content is music, the rearranged playback order of the recommended content (music) included in the music list (content list) may be determined by the user. List is the order of display when viewed through the player and corresponds to the listening order.

Hereinafter, the server 100 and the terminal 110 for providing a "content list recommendation" according to an embodiment of the present invention will be described in more detail with reference to FIGS. 2 to 8.

The terminal 110 may include a general PC such as a general desktop or a notebook, and may include a mobile terminal such as a smart phone, a tablet PC, a personal digital assistant (PDA) and a mobile communication terminal, and the like. Rather, it should be broadly interpreted as any electronic device that can communicate with the server 100.

The above-described server 100 has the same hardware configuration as that of a typical Web server, a web application server, or a WAP server. However, in software, as described in detail below with respect to FIG. 2, a program module implemented through various languages such as C, C ++, Java, PHP, .Net, Python, Ruby, and performing various functions. (Module) may be included.

In addition, server 100 may be connected to an unspecified number of clients (including terminal 110) and / or other servers via network 120, whereby server 100 performs tasks of clients or other servers. It may refer to a computer system that accepts a request and derives and provides a work result for it, or a computer software (server program) installed for such a computer system.

In addition to the above-described server programs, the server 100 may also include a broad concept including a series of application programs running on the server 100 and, in some cases, various databases built in or outside the server 100 It should be understood.

In addition, the server 100 may store and manage content, various information, and data in a database. Here, the database may be implemented inside or outside the server 100.

The server 100 may use a server program that is variously provided according to an operating system such as DOS, Windows, Linux, UNIX, or Macintosh to general server hardware Typical examples include a Web site used in a Windows environment, an Internet Information Server (IIS), Apache, Nginx, and Light HTTP used in a UNIX environment.

Meanwhile, the network 120 is a network connecting the server 100 and the terminal 110 and may be a closed network such as a local area network (LAN), a wide area network (WAN), or the like. It may be an open network such as). Here, the Internet includes various services existing in the TCP / IP protocol and its upper layers such as HTTP (HyperText Transfer Protocol), Telnet, File Transfer Protocol (FTP), Domain Name System (DNS), Simple Mail Transfer Protocol (SMTP), The global open computer network architecture that provides Simple Network Management Protocol (SNMP), Network File Service (NFS), and Network Information Service (NIS).

In addition, when the terminal 110 includes a mobile terminal such as a smart phone, a tablet PC, a personal digital assistant (PDA) and a mobile communication terminal, the network 120 includes a wireless access network such as a mobile communication network or a Wi-Fi network. It may further include.

2 is a block diagram of a server 100 recommending a content list according to an embodiment of the present invention.

Referring to FIG. 2, the server 100 recommending a content list according to an embodiment of the present disclosure may generate and output content taste information indicating a content taste of a user based on user input information. And a recommended content search unit 230 that searches for a plurality of recommended contents in the content database based on the content taste information output from the taste analyzing unit 220, and a part or all of the plurality of recommended contents according to the set recommendation pattern. And a content list generating unit 240 for generating a content list including a playlist as a playlist (playlist), and a content list providing unit 250 for providing the generated content list to the user terminal 110.

As described above, the server 100 recommending a content list according to an embodiment of the present invention may generate a plurality of recommended contents that have been searched once as a content list and provide them to the user as a recommendation result. In order to maximize the user's satisfaction with the user, a list of contents may be generated and provided through a process of filtering and / or reordering a plurality of recommended contents using a set recommendation pattern. At this time, the generated content list is a reproduction list for reproducing a plurality of contents.

Meanwhile, as shown in FIG. 2, the server 100 recommending a content list according to an embodiment of the present invention includes a content list recommendation request receiving unit 210 which receives content list recommendation request information including user input information. ) May be further included.

The above-mentioned content list recommendation request information may include setting information about the recommendation pattern set in the terminal 110.

In addition, the server 100 recommending the content list according to an embodiment of the present invention, as shown in Figure 2, the recommendation to control so that at least one of the plurality of patterns are set by the terminal 110 as a recommendation pattern The apparatus may further include a pattern setting controller 260. That is, one pattern of the plurality of patterns may be set as the recommended pattern, or two or more patterns of the plurality of patterns may be mixed and set as the recommended pattern.

In addition, the server 100 recommending the content list according to an embodiment of the present invention, as shown in Figure 2, the content included in the content list provided to the terminal 110 by the content list providing unit 250 For example, the terminal may further include a content preference information manager 270 that receives content preference information according to a user input from the terminal 110 and stores the received content preference information to be used for the next recommended content search.

Meanwhile, the content list generator 240 collects data related to content usage of the user, performs data mining on the collected content related data, obtains playback order information preferred by the user, and uses the obtained playback order. It is also possible to rearrange the playback order of the plurality of recommended content.

Regarding data mining on collected content related data, for example, when the content is music and the collected content usage data is a user-generated playlist, the data on the collected content usage data Through mining, it is possible to obtain music listening order information indicating that a user prefers to listen to music of the ballad genre in the past and to listen to music of the dance genre in the past. In this case, the music listening order information may be the playback order information preferred by the above-mentioned user.

Hereinafter, a method of recommending a content list by the server 100 according to an exemplary embodiment of the present invention will be described in more detail with reference to FIG. 3.

3 is a flowchart illustrating a method in which the server 100 recommends a content list according to an embodiment of the present invention.

3 is a method of recommending a content list by the server 100 according to an exemplary embodiment of the present disclosure, a taste analysis step (S304) of generating and outputting content taste information indicating a content taste of a user based on user input information; According to the content taste information output in the taste analysis step (S304), recommended content search step (S306) for searching a plurality of recommended content in the content database, and according to the set recommendation pattern, a part or all of the plurality of recommended content A content list generating step (S308) of generating a containing content list as a play list, and a content list providing step (S310) of providing the content list to the user terminal 110, and the like.

In the server 100 recommending a content list according to an embodiment of the present invention, as shown in FIG. 3, a content list recommendation request receiving step of receiving content list recommendation request information including user input information ( S302) may be further included.

When the recommendation pattern setting control step S300 to be described later is performed before the content list recommendation request receiving step S302, the above-mentioned content list recommendation request may further include setting information about the recommendation pattern.

In the above-described taste analysis step S304, a predetermined text may be extracted from user input information, which is information input from the terminal 110, and the content taste information may be generated and output based on the extracted text. Here, the user input information may include content identification information (for example, content name information) or content attribute information that the user prefers. Here, the content identification information may be, for example, content name information, and the content attribute information may include information on a song name, artist, genre, etc. when the content is music.

Meanwhile, in the taste analysis step S304 described above, when user input information is not input or text is not extracted from the user input information, a predetermined taste estimation algorithm is processed, and content taste information is generated and output based on the processing result information. can do.

In this regard, the taste analysis step (S304) is based on the user's content usage history information through the processing of the taste estimation algorithm, according to a predetermined criterion (e.g., a criterion for a usage period such as a recent year). Specific content or specific content attribute information corresponding to the frequency of use can be grasped as processing result information.

For example, in the taste analysis step (S304), through the processing of the taste estimation algorithm, it is possible to grasp what the name of the song the user liked or the artist (musician) or genre that the user liked as the processing result information. .

As described above, in the taste analysis step S304, the content taste information indicating the content taste of the user is generated from the user input information or the processing result information of the taste guessing algorithm. It may include one or more of content identification information (content name) and specific content attribute information.

The specific content attribute information mentioned above may include, for example, one or more of title information, album information, artist information, genre information, and bit rate information in the case of music attribute information. In the case of video attribute information, title information, It may include one or more of director information, actor information, genre information, and the like.

As described above, the recommended content retrieval step S306 is based on one or more of the content identification information and the specific content attribute information of the specific content included in the content taste information output in the taste analysis step S304. In this case, the recommended content is searched. For example, based on content usage history information for each user, the content corresponding to the specific content attribute information or one or more other users whose specific content is included in the content usage history information may be searched. That is, the user who requested the content list recommendation content is similar to the content or the content property information and other users who like the content property information), and by referring to the content usage history information of one or more other users identified as such Clothing corresponding to the most frequent use frequency according to standard The number of contents can be grasped as a plurality of recommended contents and retrieved from the content database.

In the aforementioned recommended content search step (S306), a plurality of recommended content is searched in the content database based on one or more of the content identification information and the specific content property information of the specific content included in the content taste information, and the predefined content property. Based on the information similarity information, a plurality of contents having content attribute information of the specific content or content attribute information defined as the same or similar to the specific content attribute information may be identified as a plurality of recommended contents and searched in the content database.

In the above-described content list generation step (S308), according to the set recommendation pattern, 'reorder' the playback order of the plurality of recommended content, or perform 'content filtering' so that some or all of the plurality of recommended contents are included in the content list. By doing this, a content list can be generated.

In the content list generation step (S308), although a plurality of recommended content searched in the recommended content search step (S306) may be generated as a content list and immediately provided to the user as a recommendation result, to maximize the user's satisfaction with the recommendation result. For example, the content list may be generated and provided through a process of filtering and / or reordering content for a plurality of recommended content using the set recommendation pattern. In this sense, the content list generation step S308 may be referred to as a satisfaction maximization step. At this time, the generated and provided content list is a play list for reproducing a plurality of contents included in the content list, and the playing order is an order of displaying and displaying the contents included in the content list.

Meanwhile, in the method of recommending a content list according to an embodiment of the present invention, as shown in FIG. 3, a recommendation pattern setting control step of controlling one of a plurality of patterns to be set by the terminal 110 as a recommendation pattern is performed. It may further include (S300).

In the above-described plurality of patterns, for example, content that has a usage history in a past period of time based on the content usage history information of a user, but does not have a history of usage in a recent period of time, is compared with other contents in the order of playing. A "first pattern" to be rearranged or included in the content list in a certain proportion, and the content in which the usage history exists based on the content usage history information of the user is rearranged in a previous playback order or included in the content list in a certain ratio; "Third Pattern", "Third Pattern" which allows content having no usage history to be rearranged in the previous playback order or included in a certain ratio in the content list based on the content usage history information of the user, and content of a specific genre. Can be rearranged to the previous playback order or scheduled in the content list. "Fourth Pattern" to be included as much as the rate, "Fifth Pattern" to re-arrange the latest contents released during a certain period of time in the previous playback order or to be included in a certain percentage in the content list, and correspond to specific user type information. It may include one or more of the "sixth pattern" such that the content to be rearranged in the previous playback order or included in the content list by a certain ratio.

The sixth pattern mentioned above is, for example, to recommend a content list for the expert, such that the content corresponding to the expert user type information as the specific user type information is rearranged in the order of playing in advance or included in the content list by a certain ratio. Can be. In addition, the sixth pattern is another example, in order to recommend a content list for a non-professional user, such that the content corresponding to the general user type information as the specific user type information is rearranged in a previous playback order or by a predetermined ratio in the content list. Can be included.

On the other hand, the method for recommending a content list according to an embodiment of the present invention, as shown in Figure 3, after the content list providing step (S310), the content included in the content list provided to the terminal 110 In response to the user's input, content preference information (information that the user likes or dislikes the content, etc.) is received from the terminal 110, and the content preference information storage for storing the content preference information for use in the next recommended content search is stored. Step S312 may be further included.

In the above description, the method for recommending a content list according to an embodiment of the present invention has been described as being performed in the same manner as in FIG. 3, but this is only for convenience of description and within the scope not departing from the essential concept of the present invention. According to the implementation manner, the execution procedure of each step may be changed, or two or more steps may be integrated, or one step may be performed by being separated into two or more steps.

In the above, the method for recommending the content list by the server 100 according to an embodiment of the present invention has been described. Hereinafter, in conjunction with the server 100, the terminal 110 may use the content from the server 100. A content list recommendation method for recommending a content list by receiving a list and informing a user will be described with reference to FIGS. 4 to 8.

4 is a block diagram of a terminal 110 recommending a content list according to an embodiment of the present invention.

Referring to FIG. 4, the terminal 110 recommending a content list according to an embodiment of the present invention includes a content list recommendation request unit 420 which transmits content list recommendation request information including user input information to a server. A content list receiving unit 430 for receiving a content list including some or all of the plurality of recommended content retrieved from the server 100 based on user input information according to the recommendation pattern as a play list, and displaying the content list on the screen; And a content list display unit 440.

On the other hand, as shown in Figure 4, the terminal 110 for recommending a content list according to an embodiment of the present invention, the recommendation pattern setting unit 410 to select one of a plurality of patterns to set as a recommendation pattern It may further include.

On the other hand, as shown in Figure 4, the terminal 110 recommending the content list according to an embodiment of the present invention, the content preference information according to the user input for the content included in the content list, receives the content, The content preference information providing unit 450 may further include transmitting the preference information to the server 100 so that the preference information is used to search for the next recommended content in the server.

Hereinafter, a method of recommending a content list by the terminal 110 according to an embodiment of the present invention will be described in more detail with reference to FIGS. 5 to 8.

5 is a flowchart illustrating a method in which the terminal 110 recommends a content list according to an embodiment of the present invention.

Referring to FIG. 5, in a method in which the terminal 110 recommends a content list according to an embodiment of the present invention, a content list recommendation request step of transmitting content list recommendation request information including user input information to a server (S502) And a content list receiving step (S504) of receiving, from the server 100, a content list including a part or all of a plurality of recommended contents retrieved based on user input information from the server 100 according to the recommendation pattern as a playlist. And a content list display step (S506) for displaying the content list on the screen.

As shown in FIG. 5, in the method of recommending a content list by the terminal 110 according to an exemplary embodiment of the present disclosure, a recommendation pattern setting step of selecting one of a plurality of patterns according to a user input and setting it as a recommendation pattern It may further include (S500).

In the case of further including the recommendation pattern setting step S500, the content list recommendation request step S502 may include a recommendation pattern in content list recommendation request information including user input information including one or more of a content name and content attribute information. It may further include the setting information for the transmission to the server (100).

On the other hand, as shown in Figure 5, the terminal 110 according to an embodiment of the present invention recommends a content list, after the content list display step (S506), the recommendation pattern in a different pattern of the plurality of patterns The method may further include a recommendation pattern change setting step (S508) for changing and setting, and a content list changing step (S510) for changing and displaying the content list according to the changed and set recommendation pattern.

On the other hand, as shown in Figure 5, the terminal 110 according to an embodiment of the present invention recommends a content list, after the content list display step (S506), for the content included in the content list, the user The method may further include content preference information providing step S512 of receiving content preference information according to an input and transmitting the content preference information to the server 100 so that the content preference information may be used for the next recommended content search.

The content preference information providing step S512 may be performed after the content list display step S506 or after the recommendation pattern change setting step S508 and the content list change step S510.

In the above description, the method for recommending a content list according to an embodiment of the present invention has been described as being performed in the same manner as in FIG. 5, but this is only for convenience of description and within the scope not departing from the essential concept of the present invention. According to the implementation manner, the execution procedure of each step may be changed, or two or more steps may be integrated, or one step may be performed by being separated into two or more steps.

Hereinafter, with respect to a method for recommending a content list by the terminal 110 according to an embodiment of the present invention described above, an exemplary screen displayed on the terminal 110 in relation to the content list recommendation function and using the same A method used by the user will be described with reference to FIGS. 6 to 8. In the following description, the contents are assumed to be music.

6 is a diagram illustrating a screen associated with a content list recommendation function (music list recommendation function) in the terminal 110 recommending a content list (music list) according to an embodiment of the present invention.

FIG. 6A illustrates information related to a user's music taste (content taste) (user input information) in order for a user to use a music list recommendation function (or a music playlist recommendation function) through the terminal 110. FIG. 1 is a diagram illustrating an example of a content list recommendation request screen 610 for inputting a recommendation of a music list.

Referring to FIG. 6A, the terminal 110 displays a content list recommendation request screen 610 in which an input window 611 for receiving a song name or a musician is displayed as an example of user input information related to a user's music taste. )

When the user inputs a song name or a musician through the input window 611 displayed on the content list recommendation request screen 610, the terminal 110 includes the information about the song name or the artist as the user input information in the music list recommendation request information. The server 100 transmits the data.

Accordingly, the server 100 searches for a plurality of pieces of music using the user input information (song name or artist) included in the received music list recommendation request information, and the recommendation pattern or terminal 110 preset in the server 100. In accordance with the recommendation pattern set in the), the playback order of the plurality of searched music is rearranged, or a part or all of the searched plurality of music is selected (filtered), and the music list or the plurality of music lists including the plurality of music in which the playback order is rearranged A music list including all the music or a music list including a part of the plurality of music is generated, and the generated music list is transmitted to the terminal 110.

In this case, it is assumed that the music list generated by the server 100 includes eight pieces of music M01, M02, M03, M04, M05, M06, M07, and M08.

As the server 100 transmits the music list including the eight music (M01, M02, M03, M04, M05, M06, M07, M08) to the terminal 110, the terminal 110 transmits the received music list. The music list screen 620 on which the information on the music list as shown in FIG. 6B is displayed is output.

Referring to FIG. 6B, it is determined whether the user prefers the music for each of the eight pieces of music M01, M02, M03, M04, M05, M06, M07, and M08 included in the music list (play list). To inform the server 100, the terminal 110, music preference information for each of the eight music (M01, M02, M03, M04, M05, M06, M07, M08) included in the music list (play list) A button 621 for allowing a user to input (content preference information) may be displayed on the music list screen 620.

When the user manipulates the button 621, the terminal 110 transmits content preference information (music preference information) to the server 100, and the server 100 receives content preference information (music preference information) It will be stored and used in the future to search for music that matches the user's content taste.

In addition, the terminal 110 allows the user to delete eight pieces of music (M01, M02, M03, M04, M05, M06, M07, M08) included in the music list (play list) from the music list. The delete button 622 for each music may be displayed on the music list screen 620 on which the information is displayed.

In FIG. 6C, the user views the music list screen 620, and among the eight pieces of music M01, M02, M03, M04, M05, M06, M07, and M08 included in the music list (play list), FIG. When the music M01 is selected and played, the music playback screen 630 is output to the terminal 110.

As illustrated in (c) of FIG. 6, the terminal 110 may inform the server 100 whether the user prefers (likes) or dislikes the music M01 that is currently being listened to. The buttons 631 and 632 for allowing a user to input music preference information (content preference information) for the user may be displayed on the music play screen 630.

When the user operates the buttons 631 and 632, the terminal 110 transmits content preference information (music preference information) to the server 100, and the server 100 transmits content preference information (music preference information). Received and stored, and will be used in the future to search for music that matches the user's content taste.

On the other hand, as shown in Figure 6 (a), the terminal 110, automatic for providing an automatic selection function to the user who feels inconvenience or annoyance to input the song name or musician through the input window 611 The music selection button 612 may be further displayed on the content list recommendation request screen 610.

When the automatic selection button 612 is operated, the terminal 110 transmits the automatic selection request information to the server 100, and the server 100 transmits a specific criterion (eg, latest song, genre, period, artist, etc.). The music list generated according to the recommendation may be recommended to the terminal 110.

FIG. 7 is a diagram exemplarily illustrating a content list recommendation request screen 610 related to a recommendation pattern setting in a terminal 110 recommending a content list according to an embodiment of the present invention.

FIG. 7 illustrates a user inputting information (user input information) related to his or her music taste (content taste) in order to use a music list recommendation function (or a music play list recommendation function) through the terminal 110. FIG. 1 illustrates a content list recommendation request screen 610 for setting a recommendation pattern of a music list for requesting a recommendation of a music list.

Referring to FIG. 7, as an example of user input information, the terminal 110 requests a content list recommendation in which an input window 611 for receiving a song name or a musician and a recommendation pattern setting window 700 for setting a recommendation pattern are displayed. The screen 610 is output.

Referring to FIG. 7, when the user operates the recommendation pattern setting window 700, a plurality of patterns (first pattern, second pattern, third pattern, fourth pattern,. The pattern selection window 710 may be displayed, and the selected pattern may be set as the recommended pattern by selecting one of the plurality of patterns displayed on the pattern selection window 710.

When the user inputs a song name or artist information through the input window 611 and sets a recommendation pattern through the recommendation pattern setting window 700, the terminal 110 sets user input information (song name or artist information) and a recommendation pattern. The music list recommendation request information including the information is transmitted to the server 100.

Accordingly, the server 100 searches for a plurality of recommended music (recommended content) based on the user input information, and plays a music list including some or all of the found plurality of recommended music based on the recommendation pattern. The music list is generated as a play list by rearranging the playback order of the found plurality of recommended music items or transmitted to the terminal 110.

Accordingly, the terminal 110 receives the music list and outputs a music list screen 620 as shown in FIG.

As described above with reference to FIG. 7, the user may set a recommendation pattern when requesting a music list recommendation. In addition, the user may change and set the recommendation pattern after receiving the music list. As described above, changing and setting the recommendation pattern after the user has been recommended the music list will be described with reference to FIG. 8.

8 is a diagram illustrating a screen related to a recommendation pattern change setting in a terminal 110 for recommending a content list according to an embodiment of the present invention.

Referring to FIG. 8, a pattern change button 800 for setting a recommendation pattern change may be further displayed on the music reproduction screen 630 as illustrated in FIG. 6C for setting the recommendation pattern change.

When the user manipulates the pattern change button 800 to change another pattern into a recommendation pattern, the terminal 110 may change the display of the music list received from the server 100 according to the changed recommendation pattern.

The method of recommending a content list according to an embodiment of the present invention described above may be an application basically installed in the terminal 110 (which may be a program included in a platform, an operating system, or the like that is basically installed in the terminal). Can be installed directly on the terminal 110 and is compatible with the operating system of the terminal 110 through an application providing server such as an application store server, a web server (related to the application or the corresponding service). It may also be executed by an application (ie a program). Here, the operating system of the terminal 110 is an operating system, such as a window (Window), Macintosh (Macintosh) installed in a general PC such as a desktop, or iOS, Android (Android) installed in a mobile terminal such as a smartphone, tablet PC, etc. It may also be a mobile-only operating system such as).

In this sense, the method for recommending a content list according to an embodiment of the present invention described above is implemented as an application (ie, a program) basically installed in the terminal 110 or directly installed by a user, and the terminal 110 and the like. Can be recorded on a computer readable recording medium.

The program implementing the method for recommending a content list according to an embodiment of the present invention includes a function of transmitting content list recommendation request information including user input information to the server 100 and a server 100 based on user input information. ) A function of receiving, as a play list, a content list containing a part or all of the plurality of recommended contents searched in) according to the recommendation pattern, and displaying a content list on the screen. In addition, all functions corresponding to the method for recommending a content list according to an embodiment of the present invention described above with reference to FIGS. 4 to 8 may be executed.

Such a program may be recorded on a recording medium that can be read by a computer and executed by a computer so that the above-described functions can be executed.

As described above, in order to execute a method in which a computer reads a program recorded on a recording medium and recommends a -content list implemented as a program, the above-described program may be read by C, C ++, JAVA, Code may be coded in a computer language such as machine language.

The code may include a function code related to a function or the like that defines the functions described above and may include an execution procedure related control code necessary for the processor of the computer to execute the functions described above according to a predetermined procedure.

In addition, such code may further include memory reference related code as to what additional information or media needed to cause the processor of the computer to execute the aforementioned functions should be referenced at any location (address) of the internal or external memory of the computer .

In addition, when a processor of a computer needs to communicate with any other computer or server, etc., to perform the above-described functions, the code may be stored in a computer's communication module (e.g., a wired and / ) May be used to further include communication related codes such as how to communicate with any other computer or server in the remote, and what information or media should be transmitted or received during communication.

The functional program for implementing the present invention and the related code and code segment may be implemented by programmers of the technical field of the present invention in consideration of the system environment of the computer that reads the recording medium and executes the program, Or may be easily modified or modified by the user.

Also, the computer-readable recording medium on which the above-described program is recorded may be distributed to a computer system connected via a network so that computer-readable codes can be stored and executed in a distributed manner. In this case, one or more of the plurality of distributed computers may execute some of the functions presented above and send the results of the execution to one or more of the other distributed computers, The computer may also perform some of the functions described above and provide the results to other distributed computers as well.

As described above, a computer-readable recording medium recording a program for executing a method for recommending a content list according to an embodiment of the present invention may be, for example, a ROM, a RAM, a CD-ROM, a magnetic tape. , Floppy disks, optical media storage.

In addition, a computer-readable recording medium recording an application, which is a program for executing a method of recommending a content list according to an embodiment of the present invention, may include an application store server, an application, or a web associated with a corresponding service. The storage medium (e.g., hard disk, etc.) included in the application provider server including a web server, or the like, or the application providing server itself, or another computer or a storage medium on which the program is recorded. It may be.

A computer capable of reading a recording medium recording an application, which is a program for executing a method of recommending a content list according to an embodiment of the present invention, may be a smart phone, a tablet PC, It may include mobile terminals such as PDAs (Personal Digital Assistants) and mobile communication terminals, as well as to be interpreted as all computing devices.

If a computer capable of reading a recording medium recording an application, which is a program for executing a method for recommending a content list according to an embodiment of the present invention, is a smart phone, a tablet PC, a personal digital assistant (PDA) and a mobile communication terminal, etc. In the case of a mobile terminal of the mobile terminal, the mobile terminal may download and install the corresponding application from an application providing server including an application store server, a web server, and the like, and in some cases, a synchronization program after downloading from the application providing server to a general PC. It may be installed in the mobile terminal through.

As described above, according to the present invention, there is an effect of providing a method, a server, a terminal, and a recording medium for recommending content with high satisfaction.

In addition, according to the present invention, instead of recommending only one content with high satisfaction, a method of recommending a list of contents determined according to user's preference until the playback order (in the case of music, listening order), providing a server, a terminal, and a recording medium. It works.

In the above description, all the elements constituting an embodiment of the present invention are described as being combined or operating in combination, but the present invention is not necessarily limited to these embodiments. In other words, within the scope of the present invention, all of the components may be selectively operated in combination with one or more. In addition, although all of the components may be implemented as one independent hardware, some or all of the components may be selectively combined to perform a part or all of the functions in one or a plurality of hardware. As shown in FIG. Codes and code segments constituting the computer program may be easily inferred by those skilled in the art. Such a computer program may be stored in a computer readable medium, and read and executed by a computer, thereby implementing one embodiment of the present invention. As a storage medium of the computer program, a magnetic recording medium, an optical recording medium, or the like can be included.

It is also to be understood that the terms such as " comprises, "" comprising," or "having ", as used herein, mean that a component can be implanted unless specifically stated to the contrary. But should be construed as including other elements. All terms, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. Commonly used terms, such as predefined terms, should be interpreted to be consistent with the contextual meanings of the related art, and are not to be construed as ideal or overly formal, unless expressly defined to the contrary.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

Claims (24)

In the way that the server recommends a content list,
A taste analysis step of generating and outputting content taste information indicating the content taste of the user based on the user input information;
A recommended content searching step of searching for a plurality of recommended contents in a content database based on the output content taste information;
A content list generating step of generating a content list including a part or all of the plurality of recommended contents as a playlist according to a set recommendation pattern; And
And a content list providing step of providing the content list to the user's terminal. The method of claim 1,
The taste analysis step,
Extracting a predetermined text from the user input information, and generating and outputting the content taste information based on the extracted text. The method of claim 1,
The taste analysis step,
When the user input information is not input or text is not extracted from the user input information, a predetermined taste estimation algorithm is processed, and the content taste information is generated and output based on the processing result information. Recommended way. The method of claim 3,
The taste analysis step,
Through the processing of the taste estimation algorithm, the specific content or specific content attribute information corresponding to the maximum frequency of use according to a predetermined criterion is identified as the processing result information by referring to the content usage history information of the user. How to recommend a list of content. The method of claim 1,
The taste analysis step,
And generating the content taste information including at least one of content identification information and specific content attribute information of a specific content. The method of claim 5,
The specific content attribute information,
In the case of the music property information, it includes at least one of title information, album information, artist information, genre information, and bit rate information, and in the case of video property information, it includes one or more of title information, producer information, actor information, and genre information. How to recommend a content list. The method of claim 5,
The recommended content search step,
Search the plurality of recommended content in the content database based on at least one of content identification information and the specific content attribute information of the specific content included in the content taste information,
Identify one or more other users corresponding to the specific content attribute information or one or more other users whose content is included in the content usage history information based on the content usage history information for each user;
Contents characterized in that a plurality of contents corresponding to the maximum frequency of use according to a predetermined criterion is identified as the plurality of recommended contents and searched in the contents database by referring to the identified content usage history information of one or more other users. How to recommend a list. The method of claim 5,
The recommended content search step,
Search the plurality of recommended content in the content database based on at least one of content identification information and the specific content attribute information of the specific content included in the content taste information,
Based on predefined content attribute information similarity information, a plurality of contents having content attribute information of the specific content or content attribute information defined as the same or similar to the specific content attribute information are identified as the plurality of recommended contents, and the A method of recommending a list of content, characterized by searching in a content database. The method of claim 1,
The content list generating step,
According to the recommendation pattern, the content list is generated by rearranging the playback order of the plurality of recommended content or performing content filtering so that some or all of the plurality of recommended content is included in the content list. How to recommend a content list. The method of claim 1,
And a recommendation pattern setting control step of controlling one or more of a plurality of patterns to be set by the terminal as the recommendation pattern. The method of claim 10,
The plurality of patterns,
Based on the content usage history information of the user, the content of the usage history exists in the past for a certain period of time, but the usage history does not exist during the recent predetermined period of time, in order to re-arrange in the order of the previous playback, compared to other content or by a certain ratio in the content list. A first pattern to be included;
A second pattern for re-arrangement of content having a usage history in a previous playback order based on the content usage history information of the user, or to be included in the content list by a predetermined ratio;
A third pattern for re-arrangement of content that does not have a usage history in a previous playback order based on the content usage history information of the user, or to be included in the content list by a predetermined ratio;
A fourth pattern which allows contents of a specific genre to be rearranged in a previous playback order or included in a predetermined ratio in the contents list;
A fifth pattern for rearranging the latest contents released during a recent predetermined period in a previous playback order or being included in the contents list by a predetermined ratio; And
And at least one of a sixth pattern which allows content corresponding to specific user type information to be rearranged in a previous playback order or included in the content list by a predetermined ratio. The method of claim 1,
After the content list providing step,
Receiving content preference information from the terminal for content included in the content list provided to the terminal from the terminal and storing the content preference information to be used for the next recommended content search. How to recommend a list of content to include. A taste analyzer configured to generate and output content taste information indicating a content taste of the user based on the user input information;
A recommended content searching unit searching for a plurality of recommended contents in a content database based on the output content taste information;
A content list generator for generating a content list including a part or all of the plurality of recommended contents as a play list according to a set recommendation pattern; And
And a content list providing unit which provides the content list to the terminal of the user. The method of claim 13,
And a recommendation pattern setting control unit for controlling one of a plurality of patterns to be set by the terminal as the recommendation pattern. The method of claim 13,
Recommends a content list further comprising a content preference information manager that receives content preference information according to a user input from the terminal and stores the content preference information for use in a next recommended content search for the content included in the content list. Server. In the method for recommending the content list, the terminal,
A content list recommendation request step of transmitting content list recommendation request information including user input information to a server;
A content list receiving step of receiving, as a play list, a content list in which part or all of a plurality of recommended contents searched from the server based on the user input information are included according to a recommendation pattern; And
And a content list display step of displaying the content list on the screen. 17. The method of claim 16,
And a recommendation pattern setting step of selecting one of a plurality of patterns and setting it as the recommendation pattern. 18. The method of claim 17,
The content list recommendation request step,
Recommend a content list, characterized in that the content list recommendation request information including the user input information including one or more of the content name and the content attribute information further includes the setting information for the recommendation pattern to be transmitted to the server. How to. 18. The method of claim 17,
After the content list display step,
A recommendation pattern change setting step of changing and setting the recommendation pattern to another one of a plurality of patterns; And
And a content list changing step of changing and displaying the content list according to the changed and set recommendation pattern. 17. The method of claim 16,
Receiving content preference information according to a user input with respect to content included in the content list, and providing content preference information for transmitting the content preference information to the server so that the content preference information is used for the next recommended content search in the server. How to recommend a list of content. A content list recommendation request unit which transmits content list recommendation request information including user input information to a server;
A content list receiving unit configured to receive, as a play list, a content list including a part or all of a plurality of recommended content retrieved from the server based on the user input information according to a recommendation pattern; And
And a content list including a content list display unit for displaying the content list on a screen. The method of claim 21,
And a recommendation pattern setting unit which selects one of a plurality of patterns and sets the recommendation pattern as the recommendation pattern. The method of claim 21,
Receiving the content preference information according to the user input for the content included in the content list, and further comprises a content preference information providing unit for transmitting to the server so that the content preference information is used for the next recommended content search in the server Terminal for recommending a list of content. In a recording medium having recorded thereon a program for executing a method of recommending a content list,
Sending content list recommendation request information including user input information to a server;
A function of receiving, as a play list, a content list including a part or all of a plurality of recommended content retrieved from the server based on the user input information according to a recommendation pattern;
A computer-readable recording medium having recorded thereon a program for implementing a function of displaying the content list on a screen.
KR1020110119955A 2011-11-17 2011-11-17 Method, server, terminal, and recording medium for recommending contents list KR20130054535A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20150143950A (en) * 2014-06-13 2015-12-24 주식회사 유비벨록스모바일 Method for providing intelligent contents recommendation service by considering user's preferences
CN111401579A (en) * 2020-03-06 2020-07-10 广东美的制冷设备有限公司 Server, failure processing method of home appliance, and computer-readable medium
KR20200093855A (en) * 2019-01-29 2020-08-06 이화여자대학교 산학협력단 Smart fairy tale book storytelling system and method of smart fairy tale book storytelling service
KR102147978B1 (en) * 2020-04-29 2020-09-01 주식회사 이노하이퍼 User assist system using user assist app
WO2021108166A1 (en) * 2019-11-25 2021-06-03 Gracenote, Inc. Methods and apparatus to generate recommendations based on attribute vectors
KR20210130069A (en) * 2020-04-21 2021-10-29 (주)드림어스컴퍼니 Apparatus for music sorting based on User preference and device applied to the same

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20150143950A (en) * 2014-06-13 2015-12-24 주식회사 유비벨록스모바일 Method for providing intelligent contents recommendation service by considering user's preferences
KR20200093855A (en) * 2019-01-29 2020-08-06 이화여자대학교 산학협력단 Smart fairy tale book storytelling system and method of smart fairy tale book storytelling service
WO2021108166A1 (en) * 2019-11-25 2021-06-03 Gracenote, Inc. Methods and apparatus to generate recommendations based on attribute vectors
US11681747B2 (en) 2019-11-25 2023-06-20 Gracenote, Inc. Methods and apparatus to generate recommendations based on attribute vectors
CN111401579A (en) * 2020-03-06 2020-07-10 广东美的制冷设备有限公司 Server, failure processing method of home appliance, and computer-readable medium
CN111401579B (en) * 2020-03-06 2024-04-26 广东美的制冷设备有限公司 Server, failure processing method for home appliance, and computer-readable medium
KR20210130069A (en) * 2020-04-21 2021-10-29 (주)드림어스컴퍼니 Apparatus for music sorting based on User preference and device applied to the same
KR102147978B1 (en) * 2020-04-29 2020-09-01 주식회사 이노하이퍼 User assist system using user assist app

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