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METHOD AND SYSTEM FOR MATCHING QUERY TO ADS USING QUERY SUBWORD VECTORS

机译:使用查询子词向量匹配查询到广告的方法和系统

摘要

The present teaching relates to identifying content that matches a query. Train data include queries, advertisement, and hyperlinks associated with query sessions. A plurality of subwords for each of the queries in the training data are identified. A query/ads model is then trained by optimizing vectors associated the plurality of subwords for each of the queries, advertisements, and hyperlinks in the training data with respect to an objective function. At least one vector associated with each of the queries is derived based on the plurality of subword vectors in the query/ads model that represent the plurality of subwords of the query.
机译:本教导涉及识别与查询匹配的内容。训练数据包括查询,广告和与查询会话关联的超链接。识别出训练数据中每个查询的多个子词。然后通过针对目标函数针对训练数据中的每个查询,广告和超链接优化与多个子词相关联的向量来训练查询/广告模型。基于查询/广告模型中代表查询的多个子词的多个子词向量,得出与每个查询相关的至少一个向量。

著录项

  • 公开/公告号US2019251595A1

    专利类型

  • 公开/公告日2019-08-15

    原文格式PDF

  • 申请/专利权人 OATH INC.;

    申请/专利号US201815893424

  • 申请日2018-02-09

  • 分类号G06Q30/02;G06F17/30;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-21 12:10:21

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