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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 131–140 of 524 papers

TitleStatusHype
Blocking Bandits—0
A Neural Network Model of Continual Learning with Cognitive Control—0
A4 : Evading Learning-based Adblockers—0
Blocking and Other Enhancements for Bottom-Up Model Generation Methods—0
BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks—0
An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets—0
Block-Based Multi-Scale Image Rescaling—0
Block based Adaptive Compressive Sensing with Sampling Rate Control—0
An Efficient Style Virtual Try on Network for Clothing Business Industry—0
Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches—0
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