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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 331340 of 524 papers

TitleStatusHype
Shapley-Scarf Housing Markets: Respecting Improvement, Integer Programming, and Kidney Exchange0
Recurrent Submodular Welfare and Matroid Blocking Bandits0
Efficient MPI-based Communication for GPU-Accelerated Dask ApplicationsCode0
WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19Code1
Learning Dual Priors for JPEG Compression Artifacts Removal0
Local SGD Meets Asynchrony0
Universal Silicon Microwave Photonic Spectral Shaper0
Reduction of the Number of Variables in Parametric Constrained Least-Squares Problems0
Learned Block-based Hybrid Image Compression0
IPM Move Planner: AN EFFICIENT EXPLOITING DEEP REINFORCEMENT LEARNING WITH MONTE CARLO TREE SEARCH0
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