- 专利标题: Multilabel learning via supervised joint embedding of documents and labels
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申请号: US15471455申请日: 2017-03-28
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公开(公告)号: US10552501B2公开(公告)日: 2020-02-04
- 发明人: Akshay Soni , Yashar Mehdad , Aasish Pappu , Vivek Kulkarni , Sheng Chen
- 申请人: Oath Inc.
- 申请人地址: US NY New York
- 专利权人: Oath Inc.
- 当前专利权人: Oath Inc.
- 当前专利权人地址: US NY New York
- 代理机构: Cooper Legal Group, LLC
- 主分类号: G06F17/30
- IPC分类号: G06F17/30 ; G06F16/9535 ; G06N5/02 ; G06F16/93
摘要:
A method implemented by at least one server computer is provided, including the following operations: receiving a plurality of training documents, each training document being defined by a sequence of words, each training document having one or more labels associated therewith; embedding the training documents, the words, and the labels in a vector space, wherein the embedding is configured to locate a given training document and its associated labels in proximity to each other in the vector space; embedding a new document in the vector space; performing a proximity search in the vector space to identify a set of nearest labels to the new document in the vector space; associating the nearest labels to the new document.
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