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Found 2 papers, 2 papers with code
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation
However, it is challenging to tackle aggregate-level diversity with a matrix factorization (MF), one of the most common recommendation model, since skewed real world data lead to skewed recommendation results of MF.
Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge
SmartSense then summarizes sequences of users considering queried contexts in a query-attentive manner to extract the query-related patterns from the sequential actions.
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