Sharing media objects in a network
Abstract
A method, computer readable medium, user component, and system for sharing media object in a network environment are disclosed. A network manager may determine a similarity metric between users of the environment, between media objects, and/or between a user and media objects. Based upon the similarity metric, the network manager may share media objects with another user if the similarity metric exceeds a pre-determined value or is more similar than other retrieved media objects. A user component may also provide a network map manager to display a network map, and may provide a tailored view manager to display a web log associated with at least one of the user icons displayed in the network map.
Claims
exact text as granted — not AI-modified1 . A method comprising:
receiving, by a computer, a media object posted by a member of a network, wherein the member is one of a plurality of members of the network; calculating, by the computer in response to the receiving, a user-user similarity metric between the member and a second member of the plurality of members of the network; automatically forwarding, by the computer in response to the user-user similarity metric exceeding a user-user threshold, the media object to the second member.
2 . The method of claim 1 further comprising:
calculating, by the computer in response to the receiving, an object-user similarity metric between the media object and the second member;
automatically forwarding, in response to the object-user similarity metric exceeding an object-user threshold, the media object the second member.
3 . The method of claim 1 further comprising:
identifying a third member of the plurality of members of the network based on an annotation associated with the media object;
calculating, in response to the identifying, an object-user similarity metric between the media object and the third member;
automatically forwarding, in response to the object-user similarity metric exceeding an object-user threshold, the media object the third member.
4 . The method of claim 3 further comprising:
identifying a fourth member of the plurality of members of the network based on the annotation associated with the media object or based on another annotation associated with the media object;
calculating, in response to the identifying, a second user-user similarity metric between the third member and the fourth member;
automatically forwarding, in response to the second user-user similarity metric exceeding a second user-user threshold, the media object the fourth member.
5 . The method of claim 1 further comprising:
Identifying, an annotation associated with the media object, a third member of the plurality of members of the network;
calculating, in response to the identifying, a second user-user similarity metric between the member and the third member;
automatically forwarding, in response to the second user-user similarity metric exceeding a second user-user threshold, the media object the third member.
6 . The method of claim 1 wherein the user-user similarity metric between the member and the second member is based on a selection from a plurality of factors including transaction histories, co-occurrence information, statements of friendship, and user communication patterns.
7 . The method of claim 2 wherein the object-user similarity metric between the media object and the second member is based on a selection from a plurality of factors including an author of the media object, a person depicted by the media object, a person that accessed the media object, a person that annotated the media object.
8 . At least one hardware computer storage medium storing computer-executable instructions that, when executed by a computer, cause the computer to perform a method comprising:
receiving a media object posted by a member of a network, wherein the member is one of a plurality of members of the network; calculating, in response to the receiving, a user-user similarity metric between the member and a second member of the plurality of members of the network; automatically forwarding, in response to the user-user similarity metric exceeding a user-user threshold, the media object to the second member.
9 . The at least one hardware computer storage medium of claim 8 further comprising:
calculating, in response to the receiving, an object-user similarity metric between the media object and the second member;
automatically forwarding, in response to the object-user similarity metric exceeding an object-user threshold, the media object the second member.
10 . The at least one hardware computer storage medium of claim 8 further comprising:
identifying a third member of the plurality of members of the network based on an annotation associated with the media object;
calculating, in response to the identifying, an object-user similarity metric between the media object and the third member;
automatically forwarding, in response to the object-user similarity metric exceeding an object-user threshold, the media object the third member.
11 . The at least one hardware computer storage medium of claim 10 further comprising:
identifying a fourth member of the plurality of members of the network based on the annotation associated with the media object or based on another annotation associated with the media object;
calculating, in response to the identifying, a second user-user similarity metric between the third member and the fourth member;
automatically forwarding, in response to the second user-user similarity metric exceeding a second user-user threshold, the media object the fourth member.
12 . The at least one hardware computer storage medium of claim 8 further comprising:
Identifying, an annotation associated with the media object, a third member of the plurality of members of the network;
calculating, in response to the identifying, a second user-user similarity metric between the member and the third member;
automatically forwarding, in response to the second user-user similarity metric exceeding a second user-user threshold, the media object the third member.
13 . The at least one hardware computer storage medium of claim 8 wherein the user-user similarity metric between the member and the second member is based on a selection from a plurality of factors including transaction histories, co-occurrence information, statements of friendship, and user communication patterns.
14 . A system comprising:
a device that includes a processor; the device configured for receiving a media object posted by a member of a network, wherein the member is one of a plurality of members of the network; the processor configured for calculating, in response to the receiving, a user-user similarity metric between the member and a second member of the plurality of members of the network; the device further configured for automatically forwarding, in response to the user-user similarity metric exceeding a user-user threshold, the media object to the second member.
15 . The system of claim 14 further comprising:
the processor further configured for calculating, in response to the receiving, an object-user similarity metric between the media object and the second member;
the device further configured for automatically forwarding, in response to the object-user similarity metric exceeding an object-user threshold, the media object the second member.
16 . The system of claim 14 further comprising:
the device further configured for identifying a third member of the plurality of members of the network based on an annotation associated with the media object;
the processor further configured for calculating, in response to the identifying, an object-user similarity metric between the media object and the third member;
the device further configured for automatically forwarding, in response to the object-user similarity metric exceeding an object-user threshold, the media object the third member.
17 . The system of claim 16 further comprising:
the device further configured for identifying a fourth member of the plurality of members of the network based on the annotation associated with the media object or based on another annotation associated with the media object;
the processor further configured for calculating, in response to the identifying, a second user-user similarity metric between the third member and the fourth member;
the device further configured for automatically forwarding, in response to the second user-user similarity metric exceeding a second user-user threshold, the media object the fourth member.
18 . The system of claim 14 further comprising:
the device further configured for identifying, an annotation associated with the media object, a third member of the plurality of members of the network;
the processor further configured for calculating, in response to the identifying, a second user-user similarity metric between the member and the third member;
the device further configured for automatically forwarding, in response to the second user-user similarity metric exceeding a second user-user threshold, the media object the third member.
19 . The system of claim 14 wherein the user-user similarity metric between the member and the second member is based on a selection from a plurality of factors including transaction histories, co-occurrence information, statements of friendship, and user communication patterns.
20 . The system of claim 15 wherein the object-user similarity metric between the media object and the second member is based on a selection from a plurality of factors including an author of the media object, a person depicted by the media object, a person that accessed the media object, a person that annotated the media object.Cited by (0)
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