发明授权
US07937301B2 Automatic learning for mapping spoken/text descriptions of products onto available products
有权
自动学习将产品的口语/文字描述映射到可用产品上
- 专利标题: Automatic learning for mapping spoken/text descriptions of products onto available products
- 专利标题(中): 自动学习将产品的口语/文字描述映射到可用产品上
-
申请号: US12632347申请日: 2009-12-07
-
公开(公告)号: US07937301B2公开(公告)日: 2011-05-03
- 发明人: Srinivas Bangalore , Giuseppe Di Fabbrizio , Narendra Kumar Gupta
- 申请人: Srinivas Bangalore , Giuseppe Di Fabbrizio , Narendra Kumar Gupta
- 申请人地址: US GA Atlanta
- 专利权人: AT&T Intellectual Property II, L.P.
- 当前专利权人: AT&T Intellectual Property II, L.P.
- 当前专利权人地址: US GA Atlanta
- 主分类号: G07B17/00
- IPC分类号: G07B17/00 ; G06F17/30 ; G06Q10/00
摘要:
A method, processing device, and machine-readable medium are provided. Costs of states of a state space are calculated. Each state represent one or more available product attributes having zero or more decided attribute values. The calculating is based, at least in part, on training data associated with previously requested and offered products. Determining a next state such that one or more products are available and a sum of values, including a cost of a next state and a cost of a perturbation of one of the one or more requested product attribute values to reach the next state is a minimum value. A value for a product attribute is mapped according to the minimum sum of values and product attribute values of available products.
公开/授权文献
信息查询