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- 1Big data
- 1Factorization machine
- 1Implicit feedback
- 1Matrix factorization
- 1One-class problem
- 1Recommender systems
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Separating-Plane Factorization Models: Scalable Recommendation from One-class Implicit Feedback
DownloadFall 2016
We study the large-scale video recommendation problem based on user viewing logs instead of explicit ratings. As viewing records are implicitly positive samples, existing matrix factorization methods fail to generate discriminative recommendations based on such one-class data. We propose a...
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