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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 141–150 of 524 papers

TitleStatusHype
Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues—0
Competition-based Adaptive ReLU for Deep Neural Networks—0
Attention based Occlusion Removal for Hybrid Telepresence Systems—0
Combinatorial Blocking Bandits with Stochastic Delays—0
A Survey on Resilient Machine Learning—0
Collaborative Domain Blocking: Using federated NLP To Detect Malicious Domains—0
Astrocytic NMDA Receptors Modulate the Dynamics of Continuous Attractors—0
AI-empowered Channel Estimation for Block-based Active IRS-enhanced Hybrid-field IoT Network—0
A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels—0
Cores in discrete exchange economies with complex endowments—0
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