MS-DPP unifies several per-attribute DPPs into one re-ranking model via a Log-Euclidean mean of similarity matrices, and Tangent Normalization steers diversity toward user-chosen attribute weights.
K-DPPs: Fixed-size determinantal point processes
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MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval
MS-DPP unifies several per-attribute DPPs into one re-ranking model via a Log-Euclidean mean of similarity matrices, and Tangent Normalization steers diversity toward user-chosen attribute weights.