Streamsight: a toolkit for offline evaluation of recommender systems

• Main Author: Ng, Tze Kean
• Other Authors: Sun Aixin
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Recommender system; Practical evaluation; Global timeline
• Online Access: https://hdl.handle.net/10356/181114
• Institution: Nanyang Technological University

There have been numerous Recommender System (RS) toolkits for offline evaluation that have been released over the years. However, little emphasis has been placed on observing the temporal aspects in the framework of these toolkits. We noticed that current toolkits tend to prioritize complex algorith...