Method and apparatus for recommending content
First Claim
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1. A method of recommending content to a first user by using one or more second users in a peer-to-peer (P2P) network implemented by a processor, the method comprising:
- receiving, via the P2P network from the one or more second users meta data regarding content belonging to the one or more second users;
detecting a plurality of pieces of recommended content similar to content that the first user is currently using, based on both the received meta data and the content that the first user is currently using, by searching the received metadata from the one or more second users for the plurality of pieces of recommended content which are similar to the content that the first user is currently using; and
outputting information regarding respective pieces of the detected recommended content,wherein the one or more second users have a content preference similar to a content preference of the first user,wherein the information regarding the recommended content is included in the metadata received from the one or more second users,wherein the one or more second users belong to at least one of a plurality of second user groups which are classified according to a classification criterion,wherein the detecting the pieces of recommended content comprises detecting the pieces of recommended content according to the classified second user groups, andwherein a first group among the plurality of second user groups includes users that have preference similar to the first user preference relating to a first classification criterion selected by the first user for recommending a first type of content, and a second group among the plurality of second user groups includes users that have preference similar to the first user preference relating to a second classification criterion selected by the first user for recommending a second type of content.
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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.
33 Citations
26 Claims
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1. A method of recommending content to a first user by using one or more second users in a peer-to-peer (P2P) network implemented by a processor, the method comprising:
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receiving, via the P2P network from the one or more second users meta data regarding content belonging to the one or more second users; detecting a plurality of pieces of recommended content similar to content that the first user is currently using, based on both the received meta data and the content that the first user is currently using, by searching the received metadata from the one or more second users for the plurality of pieces of recommended content which are similar to the content that the first user is currently using; and outputting information regarding respective pieces of the detected recommended content, wherein the one or more second users have a content preference similar to a content preference of the first user, wherein the information regarding the recommended content is included in the metadata received from the one or more second users, wherein the one or more second users belong to at least one of a plurality of second user groups which are classified according to a classification criterion, wherein the detecting the pieces of recommended content comprises detecting the pieces of recommended content according to the classified second user groups, and wherein a first group among the plurality of second user groups includes users that have preference similar to the first user preference relating to a first classification criterion selected by the first user for recommending a first type of content, and a second group among the plurality of second user groups includes users that have preference similar to the first user preference relating to a second classification criterion selected by the first user for recommending a second type of content. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 10, 11)
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9. An apparatus for recommending content to a first user by using one or more second users in a peer-to-peer (P2P) network, the apparatus comprising:
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a receiving unit which receives, via the P2P network, from the one or more second users, meta data regarding content belonging to the one or more second users; a detection unit, implemented on a processor, which detects a plurality of pieces of recommended content similar to content that the first user is currently using, based on both the received meta data and the content that the first user is currently using, by searching the received metadata from the one or more second users for the plurality of pieces of recommended content which are similar to the content that the first user is currently using; and an output unit which outputs information regarding respective pieces of the detected recommended content, wherein the one or more second users have a content preference similar to a content preference of the first user, wherein the information regarding the recommended content is included in the metadata received from the one or more second users, wherein the one or more second users belong to at least one of a plurality of second user groups which are classified according to a classification criterion, wherein the detection unit detects the pieces of recommended content according to the classified second user groups, and wherein a first group among the plurality of second user groups includes users that have preference similar to the first user preference relating to a first classification criterion selected by the first user for recommending a first type of content, and a second group among the plurality of second user groups includes users that have preference similar to the first user preference relating to a second classification criterion selected by the first user for recommending a second type of content. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. A non-transitory computer readable recording medium having recorded thereon a computer program for executing a method of recommending content to a first user by using one or more second users in a peer-to-peer (P2P) network, the method comprising:
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receiving, via the P2P network, from the one or more second users, meta data regarding content belonging to the one or more second users; detecting a plurality of pieces of recommended content similar to content that the first user is currently using, based on both the received meta data and the content that the first user is currently using, by searching the received metadata from the one or more second users for the plurality of pieces of recommended content which are similar to the content that the first user is currently using; and outputting information regarding respective pieces of the detected recommended content, wherein the one or more second users have a content preference similar to a content preference of the first user, wherein the information regarding the recommended content is included in the metadata received from the one or more second users, wherein the one or more second users belong to at least one of a plurality of second user groups which are classified according to a classification criterion, wherein the detecting the pieces of recommended content comprises detecting the pieces of recommended content according to the classified second user groups, and wherein a first group among the plurality of second user groups includes users that have preference similar to the first user preference relating to a first classification criterion selected by the first user for recommending a first type of content, and a second group among the plurality of second user groups includes users that have preference similar to the first user preference relating to a second classification criterion selected by the first user for recommending a second type of content.
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20. A method of recommending content for a first user implemented by a processor, the method comprising:
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retrieving, via the P2P network, meta data regarding content belonging to a plurality of second users, from the plurality of second users; detecting at least one piece of recommended content similar to content that the first user is currently using, based on both the meta data retrieved from the plurality of second users and the content that the first user is currently using, by searching the retrieved metadata from the plurality of second users for the plurality of pieces of recommended content which are similar to the content that the first user is currently using; and outputting information corresponding to the detected at least one piece of the recommended content, the plurality of 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 according to the classified second user groups, wherein a first group among the plurality of second user groups includes users that have preference similar to the first user preference relating to a first classification criterion selected by the first user for recommending a first type of content, and a second group among the plurality of second user groups includes users that have preference similar to the first user preference relating to a second classification criterion selected by the first user for recommending a second type of content, wherein the information regarding the recommended content is included in the metadata received from the plurality of second users. - View Dependent Claims (21, 22, 23, 24, 25, 26)
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Specification