User Interactive Precision Targeting Principle
First Claim
1. A method of determining content relevance for a user, the method comprising:
- setting a user preference, the user preference related to a first area;
calculating a set of scores, by using a combination of;
the user preference,affinity data, anda parametric weight;
organizing the content by using the set of scores, the organization of the content having a desirable relationship to the user; and
determining a recommendation from the organized content.
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Abstract
A method of determining content relevance for a user sets a user preference, which is related to a first area of content. The method calculates a set of scores, by using a combination, of the user preference, affinity data, and a parametric weight. The method organizes the content by using the set of scores, such that the organization of the content has a desirable relationship to the user, and recommends the selected content. Preferably, the method precomputes the affinity data and/or the parametric weight to generate and store the precompiled data for later retrieval. The affinity data describes a relationship between a first item of content and a second item of content, and the parametric weight describes an attribute of the second item. Additional embodiments include a system implementation and computer readable medium.
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Citations
30 Claims
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1. A method of determining content relevance for a user, the method comprising:
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setting a user preference, the user preference related to a first area; calculating a set of scores, by using a combination of; the user preference, affinity data, and a parametric weight; organizing the content by using the set of scores, the organization of the content having a desirable relationship to the user; and determining a recommendation from the organized content. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14)
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12. (canceled)
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13. (canceled)
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15. (canceled)
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16. A system for determining relevance of content, the system comprising:
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a user interface for receiving a user preference; a relevance engine comprising a parametric model;
the relevance engine for calculating a set of scores based on at least one of;the user preference; affinity data, and a parametric weight; a profile manager for organizing one of the user preference and the set of scores; and a data storage for use by the profile manager to store and retrieve one of the user preference and the set of scores. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28)
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25. (canceled)
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29. (canceled)
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30. A computer readable medium storing a program for determine content relevance, the program comprising instructions for:
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setting a user preference, the user preference related to a first area of content; calculating a set of scores, by using a combination of; the user preference, affinity data, and a parametric weight; organizing the content by using the set of scores, the organization of the content having a desirable relationship to the user; and determining a recommendation from the organized content.
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Specification