Computational Methods for Designing Human-Centered Recommender Systems: A Case Study Approach Intersecting Visual Arts and Healthcare
Year: 2024
Type: conference-paper
Abstract: Recommender Systems (RecSys) are essential tools in sectors like e-commerce, entertainment, and social media, providing personalized user experiences. Their impact is also growing in education, healthcare, tourism, transport, and logistics, enhancing decision-making and user engagement. Hence, designing modern RecSys requires a multi-disciplinary approach, incorporating machine learning, information retrieval, and human-computer interaction (HCI). This tutorial focuses on human-centric RecSys design, emphasizing both computational methods and user-centered principles. Participants will learn fundamental concepts, advanced algorithms, and practical implementation, with case studies linking visual arts and healthcare applications.
Author: Bereket Abera Yilma
Institution: University of Luxembourg
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4403221049