Information Processing Apparatus and Method, Program, and Storage Medium
First Claim
1. An information processing apparatus, comprising:
- storage means for storing a recommendation degree that indicates a degree of recommendation of a content for a user;
similarity degree calculation means for calculating a degree of similarity between a part, of a user profile as updated and a content profile;
recommendation degree variation calculation means for calculating, based on the degree of similarity calculated by said similarity degree calculation means, an amount of variation of the recommendation degree of the content for the user; and
recommendation degree calculation means for calculating a new recommendation degree by adding the amount of the variation of the recommendation degree calculated by said recommendation degree variation calculation means to the recommendation degree stored in said storage means.
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Abstract
Disclosed herein is an information processing apparatus including: storage means for storing a recommendation degree that indicates a degree of recommendation of a content for a user; similarity degree calculation means for calculating a degree of similarity between a part of a user profile as updated and a content profile; recommendation degree variation calculation means for calculating, based on the degree of similarity calculated by the similarity degree calculation means, an amount of variation of the recommendation degree of the content for the user; and recommendation degree calculation means for calculating a new recommendation degree by adding the amount of the variation of the recommendation degree calculated by the recommendation degree variation calculation means to the recommendation degree stored in the storage means.
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Citations
9 Claims
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1. An information processing apparatus, comprising:
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storage means for storing a recommendation degree that indicates a degree of recommendation of a content for a user; similarity degree calculation means for calculating a degree of similarity between a part, of a user profile as updated and a content profile; recommendation degree variation calculation means for calculating, based on the degree of similarity calculated by said similarity degree calculation means, an amount of variation of the recommendation degree of the content for the user; and recommendation degree calculation means for calculating a new recommendation degree by adding the amount of the variation of the recommendation degree calculated by said recommendation degree variation calculation means to the recommendation degree stored in said storage means. - View Dependent Claims (2, 3, 4, 5)
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6. An information processing method, comprising the steps of:
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a) storing a recommendation degree that indicates a degree of recommendation of a content for a user; b) calculating a degree of similarity between a part of a user profile as updated and a content profile; c) based on the degree of similarity calculated by said step b), calculating an amount of variation of the recommendation degree of the content for the user; and d) calculating a new recommendation degree by adding the amount of the variation of the recommendation degree calculated by said step c) to the recommendation degree stored by said step a).
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7. A program for causing a computer to execute the steps of:
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a) storing a recommendation degree that indicates a degree of recommendation of a content for a user; b) calculating a degree of similarity between a part of a user profile as updated and a content profile; c) based on the degree of similarity calculated by said step b), calculating an amount, of variation of the recommendation degree of the content for the user; and d) calculating a new recommendation degree by adding the amount of the variation of the recommendation degree calculated by said step c) to the recommendation degree stored by said step a). - View Dependent Claims (8)
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9. An information processing apparatus, comprising:
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a storage section configured to store a recommendation degree that indicates a degree of recommendation of a content for a user; a similarity degree calculation section configured to calculate a degree of similarity between a part of a user profile as updated and a content profile; a recommendation degree variation calculation section configured to calculate, based on the degree of similarity calculated by said similarity degree calculation section, an amount of variation of the recommendation degree of the content for the user; and a recommendation degree calculation section configured to calculate a new recommendation degree by adding the amount of the variation of the recommendation degree calculated by said recommendation degree variation calculation section to the recommendation degree stored in said storage section.
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Specification