Jan 12, 2022 · We introduce CompanyName2Vec, a novel algorithm to solve company entity matching (CEM) using a neural network model to learn company name semantics from a job ...

Jan 14, 2022 · We introduce CompanyName2Vec, a novel algorithm to solve company entity matching (CEM) using a neural network model to learn company name ...

Jan 14, 2022 · Here, we focus on organization entity matching. We introduce CompanyName2Vec, a novel algorithm to solve company entity matching (CEM) using a ...

Based on a real-world data, we show that CompanyName2Vec outperforms other evaluated methods and solves the CEM challenge with an average success rate of 89.3%.

Fingerprint. Dive into the research topics of 'CompanyName2Vec: Company Entity Matching based on Job Ads'. Together they form a unique fingerprint.

CompanyName2Vec: Company Entity Matching Based on Job Ads ... Entity Matching is an essential part of all real-world systems that take in structured and ...

This article contributes to the field of matching techniques by introducing a new algorithm based on labor market data enrichment.

This research introduces Name2Vec, an algorithm that addresses name matching using a neural network model to capture name semantics.

Nov 3, 2024 · A fuzzy matching algorithm can help identify that these records refer to the same entity and merge them into a single record. An overview of the ...

May 3, 2024 · This article contributes to the field of matching techniques by introducing a new algorithm based on labor market data enrichment.