2 papers
cs.IR2021
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers
Navid Rekabsaz, Simone Kopeinik, Markus Schedl
Societal biases resonate in the retrieved contents of information retrieval (IR) systems, resulting in reinforcing existing stereotypes. Approaching this issue requires established…
cs.IR2019
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,…