公开(公告)号：US20160104074A1

公开(公告)日：2016-04-14

申请号：US14512187

申请日：2014-10-10

Applicant: Yahoo! Inc.

Inventor： Ajay SHEKHAWAT ,  Mihajlo GRBOVIC

IPC: G06N99/00 ,  G06Q30/02 ,  G06F17/30

CPC classification number: G06Q30/0276 ,  G06F16/35

Abstract: Systems and methods for recommending bidded terms are disclosed. The system collects a plurality of bidded terms and separates them into ad groups. The add groups are then combined into sequences of terms, which are fed into a deep learning network to build a multidimensional word vector in which related terms are nearer one another than unrelated terms. An input term is then received and the system matches the input term in the multidimensional word vector and recommends the nearest neighbors to the term.

Abstract translation: 披露了推荐出价条款的制度和方法。 系统收集多个出价的条款并将其分成广告组。 然后将添加组合成术语序列，其被馈送到深度学习网络中以构建其中相关术语彼此比无关术语更接近的多维词向量。 然后接收输入项，并且系统与多维字向量中的输入项匹配，并推荐该项的最近邻。