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Measuring the Predictability of Recommender Systems using Structural Complexity Metrics

Measuring the Predictability of Recommender Systems using Structural Complexity Metrics

Alfonso Valderrama
Andrés Abeliuk
ArXiv (abs)PDFHTML

Papers citing "Measuring the Predictability of Recommender Systems using Structural Complexity Metrics"

2 / 2 papers shown
Title
Self-Attentive Sequential Recommendation
Self-Attentive Sequential Recommendation
Wang-Cheng Kang
Julian McAuley
HAIBDL
181
2,442
0
20 Aug 2018
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
211
316
0
30 Oct 2017

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