Context-based search and relevancy generation
First Claim
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1. A computing system comprising:
- at least one processor; and
memory storing instructions executable by the at least one processor, wherein the instructions, when executed, configure the computing system to;
based on a plurality of sensor inputs, identify a plurality of different items of context from a plurality of different sources of context;
search a plurality of different content sources to identify a set of documents based on a trigger input;
generate a relevancy metric corresponding to each document in the identified set of documents, based on the plurality of different items of context; and
generate a user interface display that selectively displays the documents in the set of documents based on the corresponding relevancy metric.
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Abstract
A computing device receives a trigger to surface relevant content. The device also obtains a variety of different types of cross-source contextual information. Items of content are identified and relevancy weights are obtained based on the contextual information. A relevancy is calculated, based on the relevancy weights, for each item of content. The items of content are surfaced.
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Citations
20 Claims
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1. A computing system comprising:
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at least one processor; and memory storing instructions executable by the at least one processor, wherein the instructions, when executed, configure the computing system to; based on a plurality of sensor inputs, identify a plurality of different items of context from a plurality of different sources of context; search a plurality of different content sources to identify a set of documents based on a trigger input; generate a relevancy metric corresponding to each document in the identified set of documents, based on the plurality of different items of context; and generate a user interface display that selectively displays the documents in the set of documents based on the corresponding relevancy metric. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A computer implemented method, comprising:
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identifying a plurality of different items of context, from a plurality of different sources of context; receiving a trigger input; in response to the trigger input, searching a plurality of different content sources, to identify a set of documents, based on the trigger input; detecting a user location; generating a relevancy measure corresponding to each document in the identified set of documents, based on the user location and the plurality of different items of context; and generating a user interface that selectively renders the documents, in the set of documents, to a user based on the corresponding relevancy score. - View Dependent Claims (19)
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20. A computing system, comprising:
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at least one processor; and memory storing instructions executable by the at least one processor, wherein the instructions, when executed, configure the computing system to provide; a context identification system configured to identify a plurality of different items of context, from a plurality of different sources of context, including whether a user is using the computing system in a work context or a non-work context; a document interaction detector configured to detect user interactions corresponding to each of the documents; a cross-source search component configured to search a plurality of different content sources, to identify a set of documents, based on a trigger input; a relevancy generator configured to generate a relevancy metric corresponding to each document in the identified set of documents, based on the plurality of different items of context and the detected user interactions; and a user interface component configured to generate a user interface display that selectively displays the documents in the set of documents based on the corresponding relevancy metric.
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Specification