Invention Grant
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
- Patent Title: Automatic learning for mapping spoken/text descriptions of products onto available products
- Patent Title (中): 自动学习将产品的口语/文字描述映射到可用产品上
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Application No.: US12632347Application Date: 2009-12-07
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Publication No.: US07937301B2Publication Date: 2011-05-03
- Inventor: Srinivas Bangalore , Giuseppe Di Fabbrizio , Narendra Kumar Gupta
- Applicant: Srinivas Bangalore , Giuseppe Di Fabbrizio , Narendra Kumar Gupta
- Applicant Address: US GA Atlanta
- Assignee: AT&T Intellectual Property II, L.P.
- Current Assignee: AT&T Intellectual Property II, L.P.
- Current Assignee Address: US GA Atlanta
- Main IPC: G07B17/00
- IPC: G07B17/00 ; G06F17/30 ; G06Q10/00

Abstract:
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.
Public/Granted literature
- US20100088160A1 Automatic Learning for Mapping Spoken/Text Descriptions of Products onto Available Products Public/Granted day:2010-04-08
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