HELIOS Approach: Utilizing AI and LLM for Enhanced Homogeneity Identification in Real Estate Market Analysis DOI Creative Commons
Artur Janowski, Małgorzata Renigier‐Biłozor

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(14), P. 6135 - 6135

Published: July 15, 2024

The concept of homogeneity in the real estate market is a well-known analysis aspect, yet it remains significant challenge practical implementation. This study aims to fill this research gap by introducing HELIOS (Homogeneity Estate Linguistic Intelligence Omniscient Support), presenting new approach analyses. In world increasingly mindful environmental, social, and economic concerns, novel grounded linguistic intelligence machine learning reshape how we perceive analyze data. By exploring synergies between human expertise technological capabilities, not only enhance efficiency analyses but also contribute broader goal sustainable responsible data practices dynamic landscape property markets. Additionally, article formulates set assumptions suggestions improve effectiveness mass valuation, emphasizing synergy knowledge potential technology.

Language: Английский

An experimental approach to decoding human reactions through mixed measurements DOI
Artur Janowski, Małgorzata Renigier‐Biłozor, Marek Walacik

et al.

Measurement, Journal Year: 2024, Volume and Issue: 230, P. 114547 - 114547

Published: March 21, 2024

Language: Английский

Citations

2

HELIOS Approach: Utilizing AI and LLM for Enhanced Homogeneity Identification in Real Estate Market Analysis DOI Creative Commons
Artur Janowski, Małgorzata Renigier‐Biłozor

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(14), P. 6135 - 6135

Published: July 15, 2024

The concept of homogeneity in the real estate market is a well-known analysis aspect, yet it remains significant challenge practical implementation. This study aims to fill this research gap by introducing HELIOS (Homogeneity Estate Linguistic Intelligence Omniscient Support), presenting new approach analyses. In world increasingly mindful environmental, social, and economic concerns, novel grounded linguistic intelligence machine learning reshape how we perceive analyze data. By exploring synergies between human expertise technological capabilities, not only enhance efficiency analyses but also contribute broader goal sustainable responsible data practices dynamic landscape property markets. Additionally, article formulates set assumptions suggestions improve effectiveness mass valuation, emphasizing synergy knowledge potential technology.

Language: Английский

Citations

0