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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

Showing 241250 of 524 papers

TitleStatusHype
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs0
Content-aware Scalable Deep Compressed SensingCode1
Revisiting the Sample Adaptive Offset post-filter of VVC with Neural-Networks0
Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and PreparationCode1
With a little help from my friends: essentiality vs opportunity in group criticality0
Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach0
NeuralPassthrough: Learned Real-Time View Synthesis for VRCode1
Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching0
The lattice of envy-free many-to-many matchings with contracts0
Backdoor Attacks on Vision TransformersCode1
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