Invention Grant
US08595089B1 System and method for predicting missing product ratings utilizing covariance matrix, mean vector and stochastic gradient descent
有权
使用协方差矩阵，平均向量和随机梯度下降预测缺失产品评级的系统和方法
- Patent Title: System and method for predicting missing product ratings utilizing covariance matrix, mean vector and stochastic gradient descent
- Patent Title (中): 使用协方差矩阵，平均向量和随机梯度下降预测缺失产品评级的系统和方法
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Application No.: US12705932Application Date: 2010-02-15
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Publication No.: US08595089B1Publication Date: 2013-11-26
- Inventor: William John James Roberts
- Applicant: William John James Roberts
- Agency: Attentive Law
- Agent Paul Ratcliffe
- Main IPC: G06Q30/00
- IPC: G06Q30/00
Abstract:
A product recommender system where product ratings from a plurality of users are represented as plurality of vectors is disclosed. The ratings vectors are represented by a mean vector and a covariance matrix. The mean vector and the covariance matrix are estimated from a data-set of known product ratings. Product ratings are predicted using the mean vector and the covariance matrix.
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