[HTML][HTML] Ticket automation: An insight into current research with applications to multi-level classification scenarios

A Zangari, M Marcuzzo, M Schiavinato… - Expert Systems with …, 2023 - Elsevier
Modern service providers often have to deal with large amounts of customer requests, which
they need to act upon in a swift and effective manner to ensure adequate support is …

A survey on data-driven evaluation of competencies and capabilities across multimedia environments

The rapid evolution of technology directly impacts the skills and jobs needed in the next
decade. Users can, intentionally or unintentionally, develop different skills by creating …

ExpFinder: A hybrid model for expert finding from text-based expertise data

YB Kang, H Du, ARM Forkan, PP Jayaraman… - Expert Systems with …, 2023 - Elsevier
Finding an expert plays a crucial role in driving successful collaborations and speeding up
high-quality research development and innovations. However, the rapid growth of scientific …

Topic-sensitive expert finding based solely on heterogeneous academic networks

X Gao, S Wu, D Xia, H Xiong - Expert Systems with Applications, 2023 - Elsevier
Identifying experts in a specific research field is an essential and practical task in academia
and industry. Although some efforts have been attempted for expert finding, they rely on …

Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems

K Cortiñas-Lorenzo, S Lindley, I Larsen-Ledet… - arXiv preprint arXiv …, 2024 - arxiv.org
Knowledge can't be disentangled from people. As AI knowledge systems mine vast volumes
of work-related data, the knowledge that's being extracted and surfaced is intrinsically linked …

A multi-level approach for hierarchical Ticket Classification

M Marcuzzo, A Zangari, M Schiavinato… - Proceedings of the …, 2022 - iris.unive.it
The automatic categorization of support tickets is a fundamental tool for modern businesses.
Such requests are most commonly composed of concise textual descriptions that are noisy …

Expert retrieval based on local journals metadata to drive small-medium industries (SMI) collaboration for product innovation

S Al Hakim, DI Sensuse, I Budi, IMI Subroto… - Social Network Analysis …, 2023 - Springer
Innovation in the small-medium industries (SMI) sector, which has limited human resources,
requires collaboration with academic researchers. Thus, SMI needs an appropriate search …

Information retrieval and machine learning methods for academic expert finding

LM de Campos, JM Fernández-Luna, JF Huete… - Algorithms, 2024 - mdpi.com
In the context of academic expert finding, this paper investigates and compares the
performance of information retrieval (IR) and machine learning (ML) methods, including …

A recommendation system for finding experts in online scientific communities

S Javadi, R Safa, M Azizi… - Journal of AI and data …, 2020 - jad.shahroodut.ac.ir
Online scientific communities are bases that publish books, journals, and scientific papers,
and help promote knowledge. The researchers use search engines to find the given …

NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking

W Zhang, L Gui, R Procter, Y He - arXiv preprint arXiv:2305.04825, 2023 - arxiv.org
To enhance the ability to find credible evidence in news articles, we propose a novel task of
expert recommendation, which aims to identify trustworthy experts on a specific news topic …