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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 451460 of 524 papers

TitleStatusHype
Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment0
A Stochastic Approximation Approach for Efficient Decentralized Optimization on Random NetworksCode0
Universal Prompt Optimizer for Safe Text-to-Image GenerationCode0
Spatial-Frequency Discriminability for Revealing Adversarial PerturbationsCode0
On Calibration of LLM-based Guard Models for Reliable Content ModerationCode0
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted IndexingCode0
Classification of social media Toxic comments using Machine learning modelsCode0
Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain GraphCode0
Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter WeatherCode0
Reinforcement Learning of Self Enhancing Camera Image and Signal ProcessingCode0
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