SYSTEM AND METHOD OF SEMANTIC CORRELATION OF RICH CONTENT
First Claim
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1. A system to recommend content to a user, comprising:
- a content of interest to the user;
a first semantic abstract representing the content of interest;
a second semantic abstract representing a second content;
a semantic abstract comparer to compare the first semantic abstract to the second semantic abstract; and
a content recommender to recommend the second content if the first semantic abstract is within a threshold distance of the second semantic abstract.
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Abstract
Content of interest to a user is identified. A first semantic abstract is generated for the content of interest using a state vector representation of the content of interest. The first semantic abstract is compared to a second semantic abstract representing another prospective content. If the first semantic abstract is within a threshold distance of the second semantic abstract, then the prospective content is recommended to the user.
101 Citations
27 Claims
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1. A system to recommend content to a user, comprising:
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a content of interest to the user;
a first semantic abstract representing the content of interest;
a second semantic abstract representing a second content;
a semantic abstract comparer to compare the first semantic abstract to the second semantic abstract; and
a content recommender to recommend the second content if the first semantic abstract is within a threshold distance of the second semantic abstract. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer-implemented method for identifying and recommending content to a user, comprising:
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identifying a first semantic abstract corresponding to a content of interest;
identifying a second semantic abstract corresponding to a second content;
measuring a distance between the first semantic abstract to the second semantic abstract; and
recommending the second content if the first semantic abstract is within a threshold distance of the second semantic abstract. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. An article, comprising a storage medium, said storage medium having stored thereon instructions, that, when executed by a machine, result in:
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identifying a first semantic abstract corresponding to a content of interest;
identifying a second semantic abstract corresponding to a second content;
comparing the first semantic abstract to the second semantic abstract; and
recommending the second content if the first semantic abstract is within a threshold distance of the second semantic abstract. - View Dependent Claims (22, 23, 24, 25, 26, 27)
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Specification