发明名称 |
Retrieval systems and methods employing probabilistic cross-media relevance feedback |
摘要 |
In a retrieval application, a document relevance scoring function comprises a weighted combination of scoring components including at least one of a pseudo-relevance scoring component and a cross-media relevance scoring component. Weights of the document relevance scoring function are optimized to generate a trained document relevance scoring function. The optimizing is respective to a set of training documents including at least some multimedia training documents and a set of training queries and corresponding training document relevance annotations. A retrieval operation is performed for an input query respective to a database using the trained document relevance scoring function to retrieve one or more documents from the database.
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申请公布号 |
US8538896(B2) |
申请公布日期 |
2013.09.17 |
申请号 |
US20100872105 |
申请日期 |
2010.08.31 |
申请人 |
MENSINK THOMAS;VERBEEK JAKOB;CSURKA GABRIELA;XEROX CORPORATION |
发明人 |
MENSINK THOMAS;VERBEEK JAKOB;CSURKA GABRIELA |
分类号 |
G06F15/18 |
主分类号 |
G06F15/18 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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