公开(公告)号：US20100208984A1

公开(公告)日：2010-08-19

申请号：US12371541

申请日：2009-02-13

Applicant: Mikhail Bilenko ,  Matthew Richardson ,  Sonal Gupta

Inventor： Mikhail Bilenko ,  Matthew Richardson ,  Sonal Gupta

IPC: G06K9/62 ,  G06K9/68

CPC classification number: G06Q30/0277 ,  G06F16/3338 ,  G06Q30/0256

Abstract: A source keyword may be received multiple times and each time, in response, a machine-learning algorithm may be used to identify and rank respective matching-keywords that have been determined to match the source keyword. A portion or unit of content may be generated based on one of the ranked matching-keywords. The content is transmitted via a network to a client device and a user's impression of the content is recorded. The machine-learning algorithm may continue to rank matching-keywords for arbitrary source keywords while the recorded impressions and corresponding matched-keywords, respectively, are used to train the machine-learning algorithm. The training alters how the machine-learning algorithm ranks matching-keywords determined to match the source keyword.

Abstract translation: 可以多次接收源关键字，并且每次可以接收每个源关键字，作为响应，可以使用机器学习算法来识别和排列已经被确定为匹配源关键字的各个匹配关键字。 可以基于一个排名匹配关键词生成内容的一部分或单位。 将内容通过网络发送到客户端设备，并记录用户的内容印象。 机器学习算法可以继续对任意源关键词进行匹配关键词的排名，而记录的印象和相应的匹配关键词分别用于训练机器学习算法。 训练改变了机器学习算法如何排列匹配关键字，以匹配源关键字。