Blending learning models for search support
AssigneeApple Inc.
InventorsHon Yuk Chan, John M. Hörnkvist, Lun Cui, Vipul Ved Prakash, Anubhav Malhotra, Stanley N. Hung, Julien Freudiger
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AssigneeApple Inc.
InventorsHon Yuk Chan, John M. Hörnkvist, Lun Cui, Vipul Ved Prakash, Anubhav Malhotra, Stanley N. Hung, Julien Freudiger
Estimating the term…
A method and apparatus of a device that generates a re-ranking model used to re-rank a plurality of search results on a client device is described. In an exemplary embodiment, the device receives a crowd-sourced intra-domain model from a server, where the intra-domain model is a search result re-ranking model generated based on at least device interactions of a plurality of users interacting with a plurality of other devices. The device further generates a re-ranking model from the crowd-sourced intra-domain model and a local model, where the local model includes private data representing a device user's interaction with that device and the re-ranking model is used to re-rank a plurality of search results.
A machine-readable medium having executable instructions to cause one or more processing units to perform a method to generate a re-ranking model used to re-rank a plurality of search results on a client device, the method comprising:
A machine-readable medium having executable instructions to cause one or more processing units to perform a method to generate a crowd-source model used to re-rank a plurality of search results on a client device, the method comprising:
A method used to re-rank a plurality of search results on a client device, the method comprising:
A method to generate a crowd-source model used to re-rank a plurality of search results on a client device, the method comprising:
Dependencies are inferred from the claim text.