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Blocking

Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)

Blocking is a crucial step in any entity resolution pipeline because a pair-wise comparison of all records across two data sources is infeasible. Blocking applies a computationally cheap method to generate a smaller set of candidate record pairs reducing the workload of the matcher. During matching a more expensive pair-wise matcher generates a final set of matching record pairs.

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Papers

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Showing 461–470 of 524 papers

TitleStatusHype
Blocking and Other Enhancements for Bottom-Up Model Generation Methods—0
Blocking Bandits—0
Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models—0
Blocking Probability in Obstructed Tunnels with Reconfigurable Intelligent Surface—0
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems—0
Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching—0
Blue-blocking spectacles lenses for retinal damage protection and circadian rhythm: evaluation parameters—0
Boosting Gradient for White-Box Adversarial Attacks—0
Boosting Image Recognition with Non-differentiable Constraints—0
Broadband measurements and analysis of human blocking in a 60 GHz indoor radio channel—0
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