25 citations · 40 across the 6 of their papers we have counts for
6 papers
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
Dominik Kowald, Markus Schedl, Elisabeth Lex
Research has shown that recommender systems are typically biased towards popular items, which leads to less popular items being underrepresented in recommendations. The recent work…
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems
Dominik Kowald, Simone Kopeinik, Elisabeth Lex
Recommender systems have become important tools to support users in identifying relevant content in an overloaded information space. To ease the development of recommender systems,…
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach
Dominik Kowald, Subhash Pujari, Elisabeth Lex
Hashtags have become a powerful tool in social platforms such as Twitter to categorize and search for content, and to spread short messages across members of the social network. In…
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics
Paul Seitlinger, Dominik Kowald, Simone Kopeinik +3
Classic resource recommenders like Collaborative Filtering (CF) treat users as being just another entity, neglecting non-linear user-resource dynamics shaping attention and interpr…
Research Data Explored: Citations versus Altmetrics
Isabella Peters, Peter Kraker, Elisabeth Lex +2
The study explores the citedness of research data, its distribution over time and how it is related to the availability of a DOI (Digital Object Identifier) in Thomson Reuters' DCI…
Assessing the Quality of Web Content
Elisabeth Lex, Inayat Khan, Horst Bischof +1
This paper describes our approach towards the ECML/PKDD Discovery Challenge 2010. The challenge consists of three tasks: (1) a Web genre and facet classification task for English h…