Recommendation with Generalized Logistic Transformation
ICBK, pp. 390-399, 2018.
Many recommender systems explicitly or implicitly assume that rating data are normally distributed. This assumption is handy, but often does not hold in practice, resulting in system underperformance. In this paper, we design a recommendation algorithm embedding a new distribution model. First, we introduce a generalized logistic transfor...More
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