SOTAVerified

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.

Survey on blocking:

Papers

Showing 5160 of 524 papers

TitleStatusHype
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length PredictionCode1
ISTA-Net++: Flexible Deep Unfolding Network for Compressive SensingCode1
Multi-scale Attention Network for Single Image Super-ResolutionCode1
StyleSwin: Transformer-based GAN for High-resolution Image GenerationCode1
Road Planning for Slums via Deep Reinforcement LearningCode1
Augmenting Rule-based DNS Censorship Detection at Scale with Machine LearningCode0
A Stochastic Approximation Approach for Efficient Decentralized Optimization on Random NetworksCode0
A Systematic Approach to Blocking Convolutional Neural NetworksCode0
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather eventsCode0
Foundation for unbiased cross-validation of spatio-temporal models for species distribution modelingCode0
Show:102550
← PrevPage 6 of 53Next →

No leaderboard results yet.