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公开(公告)号：US20100169323A1
公开(公告)日：2010-07-01
申请号：US12344607
申请日：2008-12-29
申请人： Tie-Yan Liu , Xiubo Geng , Hang Li
发明人： Tie-Yan Liu , Xiubo Geng , Hang Li
CPC分类号： G06K9/6276 , G06F16/334
摘要： Described is a technology in which documents associated with a query are ranked by a ranking model that depends on the query. When a query is processed, a ranking model for the query is selected/determined based upon nearest neighbors to the query in query feature space. In one aspect, the ranking model is trained online, based on a training set obtained from a number of nearest neighbors to the query. In an alternative aspect, ranking models are trained offline using training sets; the query is used to find a most similar training set based on nearest neighbors of the query, with the ranking model that corresponds to the most similar training set being selected for ranking. In another alternative aspect, the ranking models are trained offline, with the nearest neighbor to the query determined and used to select its associated ranking model.
摘要翻译： 描述了一种技术，其中与查询相关联的文档由依赖于查询的排名模型排序。 当处理查询时，基于查询特征空间中查询的最近邻居来选择/确定查询的排名模型。 在一个方面，基于从查询的多个最近邻居获得的训练集，在线训练排名模型。 在替代方面，使用训练集离线训练排名模型; 该查询用于基于查询的最近邻居找到最相似的训练集，其中与最相似的训练集合对应的排名模型被选择用于排名。 在另一个替代方面，离线训练排序模型，确定查询的最近邻，并用于选择其相关联的排名模型。
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公开(公告)号：US20120271821A1
公开(公告)日：2012-10-25
申请号：US13090848
申请日：2011-04-20
申请人： Tao Qin , Tie-Yan Liu , Xiubo Geng
发明人： Tao Qin , Tie-Yan Liu , Xiubo Geng
IPC分类号： G06F17/30
CPC分类号： G06F16/3346
摘要： The relevance of an object, such as a document resulting from a query, may be determined automatically. A graphical model-based technique is applied to determine the relevance of the object. The graphical model may represent relationships between actual and observed labels for the object, based on features of the object. The graphical model may take into account an assumption of noisy training data by modeling the noise.
摘要翻译： 可以自动确定对象（例如由查询产生的文档）的相关性。 应用基于图形模型的技术来确定对象的相关性。 图形模型可以基于对象的特征来表示对象的实际标签和观察标签之间的关系。 图形模型可以通过对噪声建模来考虑噪声训练数据的假设。
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