Streamsight: a toolkit for offline evaluation of recommender systems

• المؤلف الرئيسي: Ng, Tze Kean
• مؤلفون آخرون: Sun Aixin
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Computer and Information Science; Recommender system; Practical evaluation; Global timeline
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/181114

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...