发明名称 |
Semantic search using a single-source semantic model |
摘要 |
Techniques for providing semantic search of a data store are disclosed. A similarity metric of a document comprising the data store to a concept represented in a semantic model derived at least in part from a reference source that includes content not included in the data store is determined. A relevance metric of a search query to the concept is computed. The similarity metric and the relevance metric are used to determine, at least in part, a ranking of the document with respect to the search query. |
申请公布号 |
US8775442(B2) |
申请公布日期 |
2014.07.08 |
申请号 |
US201213472270 |
申请日期 |
2012.05.15 |
申请人 |
Apple Inc. |
发明人 |
Moore Jennifer Lauren;Naik Devang K.;Bellegarda Jerome R.;Aitken Kevin Bartlett;Silverman Kim E. |
分类号 |
G06F17/30;G06F17/27 |
主分类号 |
G06F17/30 |
代理机构 |
Morrison & Foerster LLP |
代理人 |
Morrison & Foerster LLP |
主权项 |
1. A method, comprising:
providing a data store including documents; providing a semantic model including a plurality of concepts, wherein the semantic model is derived at least in part from a reference source that includes content not included in the data store; determining at least one similarity metric for each document of the plurality of documents, wherein each respective similarity metric represents a similarity between a respective document of the plurality of documents and a respective concept of the plurality of concepts in the semantic model; receiving a search query; computing at least one relevance metric of the search query, wherein each relevance metric represents a relevance of the search query to a respective concept of the plurality of concepts represented in the semantic model; and determining a ranking of at least a subset of the plurality of documents with respect to the search query using at least the at least one similarity metric and the at least one relevance metric. |
地址 |
Cupertino CA US |