Personalized user feed based on monitored activities
AssigneeApple Inc.
InventorMatthew Wheeler
Life of this patent
Estimating the term…
Abstract
A feature vector associated with a candidate web document is determined. A feature space associated with the feature vector is filtered. A density value associated with the candidate web document is determined using the filtered feature space. The candidate web document is ranked with respect to a plurality of other candidate web documents based on the determined density value. The candidate web document is provided in a content feed based on the ranking.
Claims20
A system, comprising:
- a processor configured to:
- determine a feature vector associated with a candidate web document;
- filter a feature space associated with the feature vector;
- determine a density value associated with the candidate web document using the filtered feature space;
- rank the candidate web document with respect to a plurality of other candidate web documents based on the determined density value;
- and
- provide in a content feed the candidate web document based on the ranking;
- and
- a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions.
A method, comprising:
- determining a feature vector associated with a candidate web document;
- filtering a feature space associated with the feature vector;
- determining a density value associated with the candidate web document using the filtered feature space;
- ranking the candidate web document with respect to a plurality of other candidate web documents based on the determined density value;
- and
- providing in a content feed the candidate web document based on the ranking.
A computer program product, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
- determining a feature vector associated with a candidate web document;
- filtering a feature space associated with the feature vector;
- determining a density value associated with the candidate web document using the filtered feature space;
- ranking the candidate web document with respect to a plurality of other candidate web documents based on the determined density value;
- and
- providing in a content feed the candidate web document based on the ranking.
Dependencies are inferred from the claim text.