Paper recommender systems: a literature survey
In the last 16 years, more than 200 research articles were published about research-paper
recommender systems. We reviewed these articles and present some descriptive statistics in …
recommender systems. We reviewed these articles and present some descriptive statistics in …
An anatomization of research paper recommender system: Overview, approaches and challenges
The purpose of this study is to present an exhaustive analysis on research paper
recommender systems which have become very popular and gained a lot of research …
recommender systems which have become very popular and gained a lot of research …
Towards reproducibility in recommender-systems research
J Beel, C Breitinger, S Langer, A Lommatzsch… - User modeling and user …, 2016 - Springer
Numerous recommendation approaches are in use today. However, comparing their
effectiveness is a challenging task because evaluation results are rarely reproducible. In this …
effectiveness is a challenging task because evaluation results are rarely reproducible. In this …
Informed Dataset Selection with 'Algorithm Performance Spaces'
When designing recommender-systems experiments, a key question that has been largely
overlooked is the choice of datasets. In a brief survey of ACM RecSys papers, we found that …
overlooked is the choice of datasets. In a brief survey of ACM RecSys papers, we found that …
Towards effective research-paper recommender systems and user modeling based on mind maps
J Beel - arXiv preprint arXiv:1703.09109, 2017 - arxiv.org
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 …
and movies, they widely neglect mind-maps as a source for user modeling. We consider this …
Multi-agent modeling of risk-aware and privacy-preserving recommender systems
V Srivastava - 2017 - uwspace.uwaterloo.ca
Recent progress in the field of recommender systems has led to increases in the accuracy
and significant improvements in the personalization of recommendations. These results are …
and significant improvements in the personalization of recommendations. These results are …
[PDF][PDF] Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps
A Nürnberger, K Turowski, A Zuccala - arxiv.org
User modeling and recommender systems are often seen as key success factors for
companies such as Google, Amazon, and Netflix. However, while user-modeling and …
companies such as Google, Amazon, and Netflix. However, while user-modeling and …
[PDF][PDF] Exploring the Butterfly Effect and (Non-) Reproducibility in Recommender Systems Research
J Beel, S Langer, A Lommatzsch - researchgate.net
Reproducibility of experimental results is crucial for recommender system research. If results
are not reproducible, suboptimal decisions might be made about which recommendation …
are not reproducible, suboptimal decisions might be made about which recommendation …