USER INTERESTS FACILITATED BY A KNOWLEDGE BASE
First Claim
1. A computer-implemented method for determining user interests, comprising:
- receiving user activity data that describes an interaction between a user and digital content;
generating first interest-level data that quantifies a first level of interest between said user and an entity that is a topic of said digital content, wherein said entity is one of a plurality of entities included within a knowledge base, said knowledge base comprising an ontology that indicates relationships between said plurality of entities;
identifying a candidate entity based on said candidate entity having one of said relationships to said entity within said knowledge base; and
generating second interest-level data that quantifies a second level of interest between said user and said candidate entity based on an analysis of said one of said relationships of said candidate entity to said entity within said knowledge base.
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Accused Products
Abstract
In one implementation, a computer-implemented method for determining user interests includes receiving user activity data that describes an interaction between a user and digital content. The method further includes generating first interest-level data that quantifies a first level of interest between the user and an entity that is a topic of the digital content, where the entity is of a plurality of entities included within a knowledge base. The knowledge base includes an ontology that indicates relationships between the plurality of entities. The method further includes identifying a candidate entity based on the candidate entity having one of the relationships to the entity within the knowledge base. Additionally, the method includes generating second interest-level data that quantifies a second level of interest between the user and the candidate entity based on an analysis of the one of the relationships of the candidate entity to the entity within the knowledge base.
84 Citations
20 Claims
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1. A computer-implemented method for determining user interests, comprising:
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receiving user activity data that describes an interaction between a user and digital content; generating first interest-level data that quantifies a first level of interest between said user and an entity that is a topic of said digital content, wherein said entity is one of a plurality of entities included within a knowledge base, said knowledge base comprising an ontology that indicates relationships between said plurality of entities; identifying a candidate entity based on said candidate entity having one of said relationships to said entity within said knowledge base; and generating second interest-level data that quantifies a second level of interest between said user and said candidate entity based on an analysis of said one of said relationships of said candidate entity to said entity within said knowledge base. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer-implemented method for determining user interests, comprising:
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generating first interest-level data that quantifies a first level of interest between a user and a first entity that is a topic of a first digital content, wherein said first entity is one of a plurality of entities included within a knowledge base, said knowledge base comprising an ontology that indicates relationships between said plurality of entities; generating second interest-level data that quantifies a second level of interest between said user and a second entity that is a topic of a second digital content, wherein said second entity is one of said plurality of entities included within said knowledge base; and updating said first interest-level data by increasing said first level of interest between said user and said first entity based on said second entity being closely related to said first entity in one of said relationships of said knowledge base. - View Dependent Claims (12, 13, 14, 15)
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16. One or more computer-storage media storing computer-useable instructions that, when executed by a computing device, perform a method for determining user interests, comprising:
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identifying a digital content in user activity data that describes an interaction between a user and said digital content; identifying an entity that is matched to the digital content by mapping data, said entity being a topic of said digital content, wherein said entity is of a plurality of entities included within a knowledge base, said knowledge base comprising an ontology that indicates relationships between said plurality of entities; generating first interest-level data that quantifies a first level of interest between said user and said entity; identifying a candidate entity based on said candidate entity having one of said relationships to said entity within said knowledge base; and generating second interest-level data that quantifies a second level of interest between said user and said candidate entity based on an analysis of said one of said relationships of said candidate entity to said entity within said knowledge base. - View Dependent Claims (17, 18, 19, 20)
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Specification