Sudden Death: A New Way to Compare Recommendation Diversification

Autor:	Bridge, Derek, Kaya, Mesut, Castells, Pablo
Rok vydání:	2019
Předmět:	Computer Science - Information Retrieval Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	This paper describes problems with the current way we compare the diversity of different recommendation lists in offline experiments. We illustrate the problems with a case study. We propose the Sudden Death score as a new and better way of making these comparisons. Comment: 4 pages, 10 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1908.00419 Zobrazit plný text záznamu View this record from Arxiv