UniMatch: Semantic FAQ Retrieval System
Supervisor Name
Areej Jaber
Supervisor Email
a.jabir@ptuk.edu.ps
University
Palestine technical university - Kadoorie
Research field
Computer Science
Bio
Dr. Areej Jaber is Head of the Artificial Intelligence and Applied Computing Departments and an Assistant Professor in the Department of Computer Science at the College of Information Technology and Artificial Intelligence, Palestine Technical University – Kadoorie (PTUK). She earned her Ph.D. in Computer Science and Technology from Universidad Carlos III de Madrid (UC3M), Spain, in 2022, and her M.Sc. in Computer Science from Al-Quds University. Her research focuses on Natural Language Processing (NLP), a major branch of Artificial Intelligence, and she has published several distinguished works in areas such as: Clinical Abbreviation Disambiguation, Propaganda Detection, Sentiment Analysis, and Arabic Linguistic Resource Development Dr. Jaber has participated in regional and international conferences and has published in peer-reviewed journals indexed in Scopus and JCR. She also serves as a reviewer and a member of scientific and program committees for several local and international conferences. In addition to her research activities, Dr. Jaber supervises numerous master’s theses in the Computer Science and Cybercrime programs, covering advanced topics such as Arabic Hate Speech Detection, Machine Translation, and Sentiment Analysis, using machine learning, deep learning, and large language model (LLM) methodologies.
UniMatch is a smart, AI-based platform that helps students quickly and accurately find answers to their questions, especially those related to the registration and academic processes at Palestine Technical University – Kadoorie (PTUK). Functioning as a semantic chatbot, the system allows students to interact in natural language and receive instant, context-aware responses. Instead of depending on exact keyword matches, UniMatch understands the meaning and intent behind each question using advanced language models. It uses word embeddings to represent the context of both the student’s query and the stored FAQs, then applies cosine similarity to identify the most relevant answers, even if the question is phrased differently. By providing meaningful and precise responses, UniMatch aims to make student support faster, easier, and more accessible. It reduces the need for students to repeatedly ask the same questions and allows administrative staff to focus on more important tasks. The platform includes an easy-to-use web interface for students and an admin dashboard for updating and managing FAQ content. Overall, UniMatch supports PTUK’s efforts to improve communication, enhance user experience, and promote the use of artificial intelligence in higher education services.
