Invention Grant
- Patent Title: Mining latent associations of objects using a typed mixture model
- Patent Title (中): 使用类型混合模型挖掘物体的潜在关联
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Application No.: US11786636Application Date: 2007-04-12
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Publication No.: US07849097B2Publication Date: 2010-12-07
- Inventor: Yunbo Cao , Hang Li
- Applicant: Yunbo Cao , Hang Li
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Westman, Champlin & Kelly, P.A.
- Agent Joseph R. Kelly
- Main IPC: G06F7/00
- IPC: G06F7/00
Abstract:
A typed separable mixture model is used to mine associative relationships between sets of objects. Instead of modeling only one type of co-occurrence among the sets of objects, the typed separable mixture model can model multiple different types of co-occurrences among more than two sets of objects, and co-occurrences that exist in different contexts.
Public/Granted literature
- US20080147654A1 Mining latent associations of objects using a typed mixture model Public/Granted day:2008-06-19
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