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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 251–275 of 524 papers

TitleStatusHype
Constrained Deployment Optimization in Integrated Access and Backhaul Networks—0
Collaborative Domain Blocking: Using federated NLP To Detect Malicious Domains—0
Dynamically meeting performance objectives for multiple services on a service mesh—0
Embedding Representation of Academic Heterogeneous Information Networks Based on Federated Learning—0
Exploration Policies for On-the-Fly Controller Synthesis: A Reinforcement Learning ApproachCode0
SOS: Systematic Offensive Stereotyping Bias in Word Embeddings—0
Calibrating Sequence likelihood Improves Conditional Language Generation—0
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models—0
Virtual Control Group: Measuring Hidden Performance Metrics—0
A hybrid transmission model for Plasmodium vivax accounting for superinfection, immunity and the hypnozoite reservoir—0
Non-Blocking Batch A* (Technical Report)—0
Rating the Crisis of Online Public Opinion Using a Multi-Level Index System—0
Network Coexistence Analysis of RIS-Assisted Wireless Communications—0
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs—0
Revisiting the Sample Adaptive Offset post-filter of VVC with Neural-Networks—0
With a little help from my friends: essentiality vs opportunity in group criticality—0
Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching—0
Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach—0
The lattice of envy-free many-to-many matchings with contracts—0
Improving Ads-Profitability Using Traffic-Fingerprints—0
Detecting Unknown DGAs without Context Information—0
Incentive-compatible public transportation fares with random inspection—0
Bi-Phasic Quasistatic Brain Communication for Fully Untethered Connected Brain Implants—0
Coordinated Charging Station Search in Stochastic Environments: A Multi-Agent Approach—0
S-DABT: Schedule and Dependency-Aware Bug Triage in Open-Source Bug Tracking SystemsCode0
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