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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 76100 of 524 papers

TitleStatusHype
FiAt-Net: Detecting Fibroatheroma Plaque Cap in 3D Intravascular OCT Images0
An innovation-based cycle-slip, multipath estimation, detection and mitigation method for tightly coupled GNSS/INS/Vision navigation in urban areas0
Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval BiasCode0
Efficient LLM Scheduling by Learning to RankCode2
A Novel Signal Detection Method for Photon-Counting Communications with Nonlinear Distortion Effects0
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle ManeuverCode0
Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning0
Unidirectional imaging with partially coherent light0
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks0
A Real-Time Adaptive Multi-Stream GPU System for Online Approximate Nearest Neighborhood Search0
Innovative RIS Prototyping Enhancing Wireless Communication with Real-Time Spot Beam Tracking and OAM Wavefront Manipulation0
Competition-based Adaptive ReLU for Deep Neural Networks0
Capturing the security expert knowledge in feature selection for web application attack detection0
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky SocialCode0
LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer0
Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning0
Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management0
LearnedKV: Integrating LSM and Learned Index for Superior Performance on Storage0
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning0
OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks Optimization0
Astrocytic NMDA Receptors Modulate the Dynamics of Continuous Attractors0
Economic Model Predictive Control of Water Distribution Systems with Accelerated Optimization Algorithm0
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?Code0
Queue management for slo-oriented large language model servingCode1
SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing0
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