In this study we conduct a comprehensive set of experiments to evaluate/challenge three graphical key figures in the paper, in terms of reusability and reproducibility of the datasets and source code
The goal of our study is the examination of the reproducibility of the paper The unfairness of popul...
textabstractCrowdsourcing data collection from research participants recruited from online labor mar...
# Reproducibility Study: Do Channels Matter? Illuminating Interpersonal Influence on Music Recommend...
In this reproducibility research of the paper "Should I Follow the Crowd? A Probabilistic Analysis o...
This paper reviews the experimental setup, experiments, and results of a study by Cañamares and Cast...
This work is a reproducibility study of the paper "Revisiting Popularity and Demographic Biases in R...
Popularity is often included in experimental evaluation to provide a reference performance for a rec...
In this Reproducibility Study of the paper “The Unfairness of Popularity Bias in Music Recommendatio...
This report is a reproducibility study of the work of D. Kowald et al. regarding thepopularity bias ...
This project was performed as a part of a the lecture "Experiment Design for Data Science" at the Te...
Numerous recommendation approaches are in use today. However, comparing their effectiveness is a cha...
Recommender Systems (RSs) help users search large amounts of digital contents and services by allowi...
Recommender systems learn from historical users’ feedback that is often non-uniformly distributed ac...
The reproducibility of published research has become an important topic in science policy. A number ...
A Recommendation engine recommends the most relevant items to the user by using different algorithms...
The goal of our study is the examination of the reproducibility of the paper The unfairness of popul...
textabstractCrowdsourcing data collection from research participants recruited from online labor mar...
# Reproducibility Study: Do Channels Matter? Illuminating Interpersonal Influence on Music Recommend...
In this reproducibility research of the paper "Should I Follow the Crowd? A Probabilistic Analysis o...
This paper reviews the experimental setup, experiments, and results of a study by Cañamares and Cast...
This work is a reproducibility study of the paper "Revisiting Popularity and Demographic Biases in R...
Popularity is often included in experimental evaluation to provide a reference performance for a rec...
In this Reproducibility Study of the paper “The Unfairness of Popularity Bias in Music Recommendatio...
This report is a reproducibility study of the work of D. Kowald et al. regarding thepopularity bias ...
This project was performed as a part of a the lecture "Experiment Design for Data Science" at the Te...
Numerous recommendation approaches are in use today. However, comparing their effectiveness is a cha...
Recommender Systems (RSs) help users search large amounts of digital contents and services by allowi...
Recommender systems learn from historical users’ feedback that is often non-uniformly distributed ac...
The reproducibility of published research has become an important topic in science policy. A number ...
A Recommendation engine recommends the most relevant items to the user by using different algorithms...
The goal of our study is the examination of the reproducibility of the paper The unfairness of popul...
textabstractCrowdsourcing data collection from research participants recruited from online labor mar...
# Reproducibility Study: Do Channels Matter? Illuminating Interpersonal Influence on Music Recommend...
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