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US 2011/0087673 A1Published application
Methods and systems relating to ranking functions for multiple domains
AssigneeYahoo! Inc., a Delaware Corporation
InventorsJiang Chen, Wei Chu, Zhenzhen Kou, Zhaohui Zheng
Life of this patent
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Abstract
Methods and systems are disclosed that relate to ranking functions for multiple different domains. By way of example but not limitation, ranking functions for multiple different domains may be trained based on inter-domain loss, and such ranking functions may be used to rank search results from multiple different domains so that they may be blended without normalizing relevancy scores.
Claims20
A method comprising:
- executing instructions, by a special purpose computing device, to direct the special purpose computing device to:
- identify a plurality of domains;
- train a plurality of ranking functions for said plurality of domains using sample items that are associated with preference data and based on inter-domain loss between and/or among at least two domains of said plurality of domains;
- and
- store electrical digital signals representative of said plurality of ranking functions in one or more memories.
2 more elements
A system comprising:
- one or more memories;
- and
- a special purpose computing device programmed with instructions to:
- identify a plurality of domains;
- train a plurality of ranking functions for said plurality of domains using sample items that are associated with preference data and based on inter-domain loss between and/or among at least two domains of said plurality of domains;
- and
- store electrical digital signals representative of said plurality of ranking functions in said one or more memories.
4 more elements
A method comprising:
- executing instructions, by a special purpose computing device, to direct the special purpose computing device to:
- obtain first electrical digital signals representative of a search query submitted by a user;
- rank a plurality of search results, which correspond to said search query, using a plurality of ranking functions by associating a plurality of relevance scores with said plurality of search results, said plurality of ranking functions trained in accordance with a machine learning process that is based on inter-domain loss between and/or among at least two domains of a plurality of domains;
- and
- blend said plurality of search results into a single ranked list using said plurality of relevance scores that are associated with said plurality of search results.
2 more elements
Dependencies are inferred from the claim text.