17 citations · 17 across the 2 of their papers we have counts for
3 papers
cs.IR2017
It's Time to Consider "Time" when Evaluating Recommender-System Algorithms [Proposal]
Joeran Beel
In this position paper, we question the current practice of calculating evaluation metrics for recommender systems as single numbers (e.g. precision p=.28 or mean absolute error MA…
cs.IR2017
RARD: The Related-Article Recommendation Dataset
Joeran Beel, Zeljko Carevic, Johann Schaible +1
Recommender-system datasets are used for recommender-system evaluations, training machine-learning algorithms, and exploring user behavior. While there are many datasets for recomm…
cs.IR2017★ 17 cited
Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps
Joeran Beel
While user-modeling and recommender systems successfully utilize items like emails, news, and movies, they widely neglect mind-maps as a source for user modeling. We consider this…