Hierarchical transformers for long document classification

R Pappagari, P Zelasko, J Villalba… - 2019 IEEE automatic …, 2019 - ieeexplore.ieee.org
BERT, which stands for Bidirectional Encoder Representations from Transformers, is a
recently introduced language representation model based upon the transfer learning …

An inclusive survey on machine learning for CRM: a paradigm shift

N Singh, P Singh, M Gupta - Decision, 2020 - Springer
Customer relationship management (CRM) is the tool to enhance customer relationship in
any business. Due to the exponential growth of data volume, in any field, it is significant to …

Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management

J Kozak, K Kania, P Juszczuk, M Mitręga - International Journal of …, 2021 - Elsevier
One type of data-driven innovations in management is data-driven decision making.
Confronted with a big amount of data external and internal to their organization's managers …

[HTML][HTML] Innovating knowledge and information for a firm-level automobile demand forecast system: A machine learning perspective

S Kim - Journal of Innovation & Knowledge, 2023 - Elsevier
Accurate demand forecasting is important for automotive manufacturing and sales planning
because it allows firms to minimize costs and improve their effectiveness. Based on the …

Systematic Review of Machine Learning Methods in Customer Satisfaction Prediction

G Xiao, TW Kuan, F Li, M Ling… - 2022 10th International …, 2022 - ieeexplore.ieee.org
Customer satisfaction is the key of a successful modern business. So customer satisfaction
prediction becomes an important mission in Business Intelligence. Based on various studies …

Explainable data-driven modeling of patient satisfaction survey data

N Liu, S Kumara, E Reich - … Conference on Big Data (Big Data), 2017 - ieeexplore.ieee.org
In the personalized patient-centered healthcare, self-reported patient satisfaction survey
data plays an important role. Given the patient survey data, it is necessary to identify the …

Reinforcement learning for content's customization: a first step of experimentation in Skyscanner

C Giachino, L Bollani, A Bonadonna… - Industrial Management & …, 2021 - emerald.com
Purpose The aim of the paper is to test and demonstrate the potential benefits in applying
reinforcement learning instead of traditional methods to optimize the content of a company's …

What makes job satisfaction in the information technology industry?

N Arambepola, L Munasinghe - 2021 International Research …, 2021 - ieeexplore.ieee.org
Having a rich human resource is critical for an organization to move towards success.
Especially, for business organizations such as technology companies, the human resource …

Künstliche Intelligenz: Anwendungen und Werkzeuge in der Automobilindustrie

A Luckow, J Eirich, K Demtröder - … Intelligenz und Data Science in Theorie …, 2023 - Springer
Künstliche Intelligenz (KI) kommt zunehmend im Alltag, in der Wissenschaft, aber auch in
verschiedenen Bereichen der Automobilindustrie zum Einsatz. KI ermöglicht intelligenter …

Egyptian Case Study-Sales forecasting model for automotive section

M Abdellatief, EM Shaaban… - … Conference on Smart …, 2019 - ieeexplore.ieee.org
Nowadays, Forecasting of automotive Sales sector play a major role in automobile
manufacturers which occupy an important valuable and great place in every country around …