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Recommender systems inspired by the structure of quantum theory
Beyond physics, these properties are valuable in general data science.
Top-N recommendations from expressive recommender systems
Normalized nonnegative models assign probability distributions to users and random variables to items; see [Stark, 2015].
Expressive recommender systems through normalized nonnegative models
Expressive user and item representations are important in practice to succinctly summarize the pool of customers and the pool of items.
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