Content recommendation apparatus and method using tag cloud
First Claim
1. Content recommendation apparatus operative to provide a content recommendation service via a network, the apparatus comprising:
- a content tag cloud generating module configured to generate a content tag cloud by analyzing a tag assigned to each content and accumulating frequencies per tag of each content;
a user tag cloud generating module configured to generate a user tag cloud by accumulating frequencies per tag of contents used by a user;
a similarity computing module configured to compute a similarity between users using the user tag cloud; and
a recommending module configured to recommend content by computing a probability that a target user will use a specific content based on the computed similarity between users.
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Abstract
Content recommendation apparatus and methods using a tag cloud provide a content recommendation service via a network. The apparatus includes a content tag cloud generating module configured to generate a content tag cloud by analyzing a tag assigned to each content and accumulating frequencies per tag of each content. The apparatus also includes a user tag cloud generating module configured to generate a user tag cloud by accumulating frequencies per tag of contents used by a user. The apparatus further includes a similarity computing module and a recommending module. The similarity computing module is configured to compute a similarity between users using the user tag cloud, and the recommending module is configured to recommend content by computing a probability that a target user will use a specific content based on the computed similarity between users.
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Citations
15 Claims
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1. Content recommendation apparatus operative to provide a content recommendation service via a network, the apparatus comprising:
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a content tag cloud generating module configured to generate a content tag cloud by analyzing a tag assigned to each content and accumulating frequencies per tag of each content; a user tag cloud generating module configured to generate a user tag cloud by accumulating frequencies per tag of contents used by a user; a similarity computing module configured to compute a similarity between users using the user tag cloud; and a recommending module configured to recommend content by computing a probability that a target user will use a specific content based on the computed similarity between users. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A content recommendation method for providing a content recommendation service via a network;
- the method comprising;
generating a content tag cloud by analyzing a tag assigned to each content and accumulating frequencies per tag of each content; generating a user tag cloud by accumulating frequencies per tag of contents used by a user; computing a similarity between users using the user tag cloud; and recommending content by computing a probability that a target user will use a specific content based on the computed similarity between users. - View Dependent Claims (9, 10, 11, 12, 13, 14)
- the method comprising;
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15. A computer readable storage medium having a computer program stored thereon for implementing a content recommendation function using a tag cloud in a computer with a processor, the function comprising:
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generating a content tag cloud by analyzing a tag assigned to each content and accumulating frequencies per tag of each content; generating a user tag cloud by accumulating frequencies per tag of contents used by a user; computing a similarity between users using the user tag cloud; and recommending a content by computing a probability that a target user will use a specific content based on the computed similarity between users.
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Specification