System and method for predicting missing product ratings utilizing covariance matrix, mean vector and stochastic gradient descent
US8595089B1 · kind B1 · utility
4Cited by
24References
11Claims
0Family size
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Key dates
| Filing date | Feb 15, 2010 |
| Grant date | Nov 26, 2013 |
| Priority date | — |
| Expiry date | Jul 3, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0631
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.