MULTILABEL LEARNING VIA SUPERVISED JOINT EMBEDDING OF DOCUMENTS AND LABELS

    公开(公告)号:US20180285459A1

    公开(公告)日:2018-10-04

    申请号:US15471455

    申请日:2017-03-28

    Applicant: Yahoo! Inc.

    Abstract: 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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