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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 511–520 of 524 papers

TitleStatusHype
Blocking of the CD80/86 axis as a therapeutic approach to prevent progression to more severe forms of COVID-19Code0
Exploration Policies for On-the-Fly Controller Synthesis: A Reinforcement Learning ApproachCode0
Scaling the Wild: Decentralizing Hogwild!-style Shared-memory SGDCode0
Learning to Customize Network Security RulesCode0
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text ClassificationCode0
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big DatasetsCode0
SC-Block: Supervised Contrastive Blocking within Entity Resolution PipelinesCode0
No-Reference Image Quality Assessment in the Spatial DomainCode0
Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval BiasCode0
Destruction of Image Steganography using Generative Adversarial NetworksCode0
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