Machine learning in marketing: Recent progress and future research directions

D Herhausen, SF Bernritter, EWT Ngai, A Kumar… - Journal of Business …, 2024 - Elsevier
Decision-making in marketing has changed dramatically in the past decade. Companies
increasingly use algorithms to generate predictions for marketing decisions, such as which …

AI-based on machine learning methods for urban real estate prediction: a systematic survey

SCK Tekouabou, ŞC Gherghina, ED Kameni… - … Methods in Engineering, 2024 - Springer
The advanced urban digitization enhancing a huge volume of data collected in many areas
has led to the emergence of artificial intelligence (AI) based tools in decision support …

Evidence-based managerial decision-making with machine learning: The case of Bayesian inference in aviation incidents

B Cankaya, K Topuz, D Delen, A Glassman - Omega, 2023 - Elsevier
Understanding the factors behind aviation incidents is essential, not only because of the
lethality of the accidents but also the incidents' direct and indirect economic impact. Even …

How urban air quality affects land values: Exploring non-linear and threshold mechanism using explainable artificial intelligence

QC Doan, C Chen, S He, X Zhang - Journal of Cleaner Production, 2024 - Elsevier
Air pollution has a significant impact on human health and influences housing choices.
Existing studies on determinant factors affecting property prices, including air pollution …

Machine Learning Algorithms for Pricing End-of-Life Remanufactured Laptops

GB Turkolmez, Z El Hathat, N Subramanian… - Information Systems …, 2024 - Springer
Due to the growing volume of e-waste in the world and its environmental impact, it is
important to understand how to extend the useful life of electronic items. In this paper, we …

Economic impacts of a subway system: Exploring local contexts in a metropolitan area

S An, K Ahn, J Bae, Y Song - Research in Transportation Business & …, 2024 - Elsevier
With rapid urban population growth, more subway systems have been developed in
metropolitan areas around the world. It is commonly presumed that the improved mobility …

Online listing data and their interaction with market dynamics: evidence from Singapore during COVID-19

J Lee, KO Lee - Journal of Big Data, 2023 - Springer
With the emergence of Property Technology, online listing data have drawn increasing
interest in the field of real estate–related big data research. Scraped from the online …

Foundational AI in Insurance and Real Estate: A Survey of Applications, Challenges, and Future Directions

K Kuppan, DB Acharya, B Divya - IEEE Access, 2024 - ieeexplore.ieee.org
This paper provides a comprehensive survey on the applications, challenges, and future
directions of Artificial Intelligence (AI) in the insurance and real estate sectors. We explore …

[PDF][PDF] Customer sentiment analysis for Arabic social media using a novel ensemble machine learning approach

N Hicham, S Karim, N Habbat - Int. J. Electr. Comput. Eng, 2023 - academia.edu
Arabic's complex morphology, orthography, and dialects make sentiment analysis difficult.
This activity makes it harder to extract text attributes from short conversations to evaluate …

Measuring the value of window views using real estate big data and computer vision: A case study in Wuhan, China

C Peng, Y Xiang, W Huang, Y Feng, Y Tang, F Biljecki… - Cities, 2025 - Elsevier
Window views significantly influence residential quality and real estate value, particularly in
high-rise residential buildings. Previous studies have predominantly focused on water and …