Towards cognitive recommender systems

A Beheshti, S Yakhchi, S Mousaeirad, SM Ghafari… - Algorithms, 2020 - mdpi.com
Intelligence is the ability to learn from experience and use domain experts' knowledge to
adapt to new situations. In this context, an intelligent Recommender System should be able …

A survey on trust prediction in online social networks

SM Ghafari, A Beheshti, A Joshi, C Paris… - IEEE …, 2020 - ieeexplore.ieee.org
Level of Trust can determine which source of information is reliable and with whom we
should share or from whom we should accept information. There are several applications for …

[图书][B] Social data analytics

A Beheshti, S Ghodratnama, M Elahi, H Farhood - 2022 - taylorfrancis.com
This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

Towards artificial intelligence enabled financial crime detection

Z Rouhollahi - arXiv preprint arXiv:2105.10866, 2021 - arxiv.org
Recently, financial institutes have been dealing with an increase in financial crimes. In this
context, financial services firms started to improve their vigilance and use new technologies …

Feature-based and adaptive rule adaptation in dynamic environments

A Tabebordbar, A Beheshti, B Benatallah… - Data Science and …, 2020 - Springer
Rule-based systems have been used increasingly to augment learning algorithms for
annotating data. Rules alleviate many of the shortcomings inherent in pure algorithmic …

Learning Complex Users' Preferences for Recommender Systems

S Yakhchi - arXiv preprint arXiv:2107.01529, 2021 - arxiv.org
Recommender systems (RSs) have emerged as very useful tools to help customers with
their decision-making process, find items of their interest, and alleviate the information …

Intent recognition in conversational recommender systems

S Moradizeyveh - arXiv preprint arXiv:2212.03721, 2022 - arxiv.org
Any organization needs to improve their products, services, and processes. In this context,
engaging with customers and understanding their journey is essential. Organizations have …

[HTML][HTML] Patient-ventilator asynchrony classification in mechanically ventilated patients: Model-based or machine learning method?

CYS Ang, YS Chiew, X Wang, EH Ooi, ME Cove… - Computer Methods and …, 2024 - Elsevier
Background and objective Patient-ventilator asynchrony (PVA) is associated with poor
clinical outcomes and remains under-monitored. Automated PVA detection would enable …

Intelligent vector-based customer segmentation in the banking industry

S Mousaeirad - arXiv preprint arXiv:2012.11876, 2020 - arxiv.org
Customer Segmentation is the process of dividing customers into groups based on common
characteristics. An intelligent Customer Segmentation will not only enable an organization to …

A query language for summarizing and analyzing business process data

A Beheshti, B Benatallah, HR Motahari-Nezhad… - arXiv preprint arXiv …, 2021 - arxiv.org
In modern enterprises, Business Processes (BPs) are realized over a mix of workflows, IT
systems, Web services and direct collaborations of people. Accordingly, process data (ie, BP …