7168 search results - page 106 / 1434 » A Factorization Approach to Grouping |
171
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RECSYS
2010
ACM
15 years 4 months ago
2010
ACM
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
100
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IEEEMSP
2002
IEEE
15 years 8 months ago
2002
IEEE
—Matrix factorization methods are now widely used to recover 3D structure from 2D projections [1]. In practice, the observation matrix to be factored out has missing data, due to...
153
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AAAI
2010
15 years 5 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
117
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WSC
1997
15 years 5 months ago
1997
The problem of searching for important factors in a simulation model is considered when the simulation output is subject to stochastic variation. Bettonvil and Kleijnen (1996) giv...
154
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ICFCA
2009
Springer
15 years 10 months ago
2009
Springer
Matrix decomposition methods provide representations of an object-variable data matrix by a product of two different matrices, one describing relationship between objects and hidd...