Steffen Rendle

A Generic Coordinate Descent Framework for Learning from Implicit Feedback

2017

In recent years, interest in recommender research has shifted from explicit feedback towards implicit feedback data. A diversity of complex models has been proposed for a wide variety of applications. Despite this, learning from implicit …

On the Difficulty of Evaluating Baselines: A Study on Recommender Systems

2019 · arXiv (Cornell University)

Numerical evaluations with comparisons to baselines play a central role when judging research in recommender systems. In this paper, we show that running baselines properly is difficult. We demonstrate this issue on two extensively studied …

On Sampled Metrics for Item Recommendation

2020

The task of item recommendation requires ranking a large catalogue of items given a context. Item recommendation algorithms are evaluated using ranking metrics that depend on the positions of relevant items. To speed up the …