METHOD AND APPARATUS FOR RECOMMENDING CONTENT

• US 20100106827A1
• Filed: 09/10/2009
• Published: 04/29/2010
• Est. Priority Date: 10/23/2008
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: LEE, Jaw-hwang, PARK, Soo-hong, HWANG, Cheol-ju, LEE, Min-ho
• Granted Patent: US 8,990,403 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Provided is a content recommending method including receiving from second users meta data regarding content belonging to each of the second users having a content preference similar to a content preference of a first user, detecting based on the received meta data a plurality of pieces of recommended content similar to content that the first user is currently using, and outputting information regarding the respective pieces of detected recommended content.

Claims

1. A method of recommending content to a first user by using second users in a peer-to-peer (P2P) network, the method comprising:

receiving from the second users meta data regarding content belonging to the second users;

detecting a plurality of pieces of recommended content similar to content that the first user is currently using, based on the received meta data; and

outputting information regarding respective pieces of the detected recommended content,

wherein the second users have a content preference similar to a content preference of the first user.

2. The method of claim 1, wherein the detecting the plurality of pieces of recommended content comprises detecting the pieces of recommended content by searching the received meta data for content which is similar to the content that the first user is currently using in terms of at least one of a title and a genre.

3. The method of claim 1, wherein the second users are determined based on a list of related users, and

wherein the list of related users comprises users having a content usage history similar to a content usage history of the first user.

4. The method of claim 3, further comprising:

checking the content usage history of the first user;

detecting third users in the P2P network having a content usage history similar to the checked content usage history of the first user; and

updating the list of related users by using the detected third users.

5. The method of claim 4, wherein the checking the content usage history of the first user is performed periodically.

6. The method of claim 1, wherein the outputting the information regarding the respective pieces of detected recommended content comprises arranging the information regarding the respective pieces of detected recommended content and sequentially outputting the arranged information according to a priority determined based on a content usage history of the first user.

7. The method of claim 6, wherein the priority is determined by assigning a high priority to a genre and a format of content that is frequently used, based on the content usage history of the first user.

8. The method of claim 1, wherein the second users belong to at least one of a plurality of second user groups which are classified according to a classification criterion, and

the detecting the pieces of recommended content comprises detecting the pieces of recommended content in units of the classified second user groups.

9. The method of claim 1, wherein the content that the first user is currently using comprises at least one content format selected from among images, audio, video and text formats.

10. An apparatus for recommending content to a first user by using second users in a peer-to-peer (P2P) network, the apparatus comprising:

a receiving unit which receives from the second users meta data regarding content belonging to the second users;

a detection unit which detects a plurality of pieces of recommended content similar to content that the first user is currently using, based on the received meta data; and

an output unit which outputs information regarding respective pieces of the detected recommended content,

wherein the second users have a content preference similar to a content preference of the first user.

11. The apparatus of claim 10, wherein the detection unit detects the pieces of recommended content by searching the received meta data for content which is similar to the content that the first user is currently using in terms of at least one of a title and a genre.

12. The apparatus of claim 10, wherein the second users are determined based on a list of related users, and

wherein the list of related users comprises users having a content usage history similar to a content usage history of the first user.

13. The apparatus of claim 12, further comprising:

a storage unit which stores the content usage history of the first user and the list of related users;

a checking unit which checks the stored content usage history of the first user; and

an updating unit which updates the list of related users by using third users in the P2P network having a content usage history similar to the checked content usage history of the first user, when the third users are detected in the P2P network.

14. The apparatus of claim 13, wherein the checking unit periodically checks the content usage history of the first user.

15. The apparatus of claim 10, wherein the outputting unit arranges the information regarding the respective pieces of detected recommended content and sequentially outputs the arranged information according to a priority determined based on a content usage history of the first user.

16. The apparatus of claim 15, wherein the priority is determined by assigning a high priority to a genre and a format of content that is frequently used, based on the content usage history of the first user.

17. The apparatus of claim 10, wherein the second users belong to at least one of a plurality of second user groups which are classified according to a classification criterion, and

the detection unit detects the pieces of recommended content in units of the classified second user groups.

18. The apparatus of claim 10, wherein the content that the first user is currently using comprises at least one content format selected from among images, audio, video and text formats.

19. A computer readable recording medium having recorded thereon a computer program for executing a method of recommending content to a first user by using second users in a peer-to-peer (P2P) network, the method comprising:

receiving from the second users meta data regarding content belonging to the second users;

detecting a plurality of pieces of recommended content similar to content that the first user is currently using, based on the received meta data; and

outputting information regarding respective pieces of the detected recommended content,

wherein the second users have a content preference similar to a content preference of the first user.

20. A method of recommending content for a first user, the method comprising:

retrieving meta data from each one of a plurality of second users;

detecting at least one piece of recommended content based on the meta data retrieved from the plurality of second users; and

outputting information corresponding to the detected at least one piece of the recommended content.

21. The method of claim 20, wherein the plurality of second users share a common content preference with the first user.

22. The method of claim 20, wherein the plurality of second users are determined based on a content preference of the first user.

23. The method of claim 20, further comprising:

generating a list of related users, the list of related users comprising the plurality of second users from which the meta data is retrieved,

wherein the plurality of second users share a common content preference with the first user.

24. The method of claim 20, wherein the first user and the plurality of second users belong to a same peer-to-peer (P2P) network.

25. The method of claim 20, wherein the detecting the at least one piece of recommended content comprises detecting the at least one piece of recommended content by searching the retrieved meta data for content which is similar to content that the first user is currently using.

26. The method of claim 25, wherein the searching the retrieved meta data for content which is similar to content that the first user is currently using is performed based on at least one of a title and a genre