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Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity
The determinantal point process (DPP) is an elegant probabilistic model of repulsion with applications in various machine learning tasks including summarization and search.
Neural Autoregressive Collaborative Filtering for Implicit Feedback
This paper proposes implicit CF-NADE, a neural autoregressive model for collaborative filtering tasks using implicit feedback ( e. g. click, watch, browse behaviors).
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