发明申请
US20100057719A1 System And Method For Generating Training Data For Function Approximation Of An Unknown Process Such As A Search Engine Ranking Algorithm
审中-公开
用于生成训练数据的系统和方法用于诸如搜索引擎排名算法的未知进程的功能近似
- 专利标题： System And Method For Generating Training Data For Function Approximation Of An Unknown Process Such As A Search Engine Ranking Algorithm
- 专利标题（中）： 用于生成训练数据的系统和方法用于诸如搜索引擎排名算法的未知进程的功能近似
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申请号： US12367656申请日： 2009-02-09
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公开(公告)号： US20100057719A1公开(公告)日： 2010-03-04
- 发明人: Parashuram Kulkarni
- 申请人： Parashuram Kulkarni
- 主分类号： G06F17/30
- IPC分类号： G06F17/30
摘要：
A system and method for generating training data for a machine learning system. A training data generator server sends at least one keyword to a search engine. The training data generator server receives at least a first and a second page from the search engine in response to the keyword, the first page having a first rank, the second page having a second rank, the first and second rank being based on the keyword. The training data generator server assigns a first label to the first page based on the first rank; and assigns a second label to the second page based on the second rank. The first web page, second page, first label and second label are forwarded to a machine learning server.