Generating ranked search results using linear and nonlinear ranking models
First Claim
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1. A method for generating ranked search results, comprising:
- receiving a plurality of matching information items that match a search request;
ranking at least some of the plurality of matching information items using a linear ranking model that linearly combines a first plurality of feature values to obtain a first set of ranked results;
ranking at least some of the first set of ranked results using a nonlinear ranking model that nonlinearly combines a second plurality of feature values to obtain a second set of ranked results; and
providing a search response based on the second set of ranked results.
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Abstract
Generating ranked search results includes receiving a plurality of matching information items that match a search request, ranking at least some of the plurality of matching information items using a linear ranking model that linearly combines a first plurality of feature values to obtain a first set of ranked results, ranking at least some of the first set of ranked results using a nonlinear ranking model that nonlinearly combines a second plurality of feature values to obtain a second set of ranked results, and provide a search response based on the second set of ranked results.
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Citations
16 Claims
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1. A method for generating ranked search results, comprising:
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receiving a plurality of matching information items that match a search request; ranking at least some of the plurality of matching information items using a linear ranking model that linearly combines a first plurality of feature values to obtain a first set of ranked results; ranking at least some of the first set of ranked results using a nonlinear ranking model that nonlinearly combines a second plurality of feature values to obtain a second set of ranked results; and providing a search response based on the second set of ranked results. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for generating ranked search results, comprising:
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one or more processors configured to; receive a plurality of matching information items that match a search request; rank at least some of the plurality of matching information items using a linear ranking model that linearly combines a first plurality of feature values to obtain a first set of ranked results; rank at least some of the first set of ranked results using a nonlinear ranking model that nonlinearly combines a second plurality of feature values to obtain a second set of ranked results; and provide a search response based at least in part on the second set of ranked results; one or more memories coupled to the one or more processors, configured to provide the processors with instructions. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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Specification