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Book Open access Nov 2026

Personalized kNN Query Execution in Vector Databases

This work proposes a query execution strategy for personalized k-nearest neighbour search that retrieves an enlarged candidate set using a standard Euclidean index and refines it under the user's subjective metric and shows that a Cholesky-based whitening transformation can reorganize embeddings so that personalized se...

Matúš Šikyňa, P. Zezula · 0 citations
Book Open access Nov 2026

Personalized kNN Query Execution in Vector Databases

Modern vector databases enable search over high-dimensional embeddings, but query execution engines rely on a specific similarity metric that cannot reflect how individual users perceive similarity. We advocate a metric-level perspective on personalization, keeping the shared embedding space and the underlying index un...

Matúš Šikyňa, P. Zezula · 0 citations

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