Invention Grant
US08868478B2 Tensor trace norm and inference systems and recommender systems using same
有权
张量跟踪规范和推理系统和推荐系统使用相同
- Patent Title: Tensor trace norm and inference systems and recommender systems using same
- Patent Title (中): 张量跟踪规范和推理系统和推荐系统使用相同
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Application No.: US13484476Application Date: 2012-05-31
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Publication No.: US08868478B2Publication Date: 2014-10-21
- Inventor: Guillaume M. Bouchard
- Applicant: Guillaume M. Bouchard
- Applicant Address: US CT Norwalk
- Assignee: Xerox Corporation
- Current Assignee: Xerox Corporation
- Current Assignee Address: US CT Norwalk
- Agency: Fay Sharpe LLP
- Main IPC: G06F17/00
- IPC: G06F17/00

Abstract:
A convex regularized loss function is minimized respective to a prediction tensor of order K to generate an optimized prediction tensor of order K where K>2. The convex regularized loss function comprises a linear combination of (i) a loss function comparing the prediction tensor and an observation tensor of order K representing a set of observations and (ii) a regularization parameter including a K-th order matrix norm decomposition of the tensor trace norm of the prediction tensor. In some such embodiments, the observation tensor of order K represents a set of social network observations and includes at least dimensions corresponding to (1) users, (2) items, and (3) tags. The optimized prediction tensor of order K is suitably used to perform inference operations.
Public/Granted literature
- US20130325781A1 Tensor trace norm and inference systems and recommender systems using same Public/Granted day:2013-12-05
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