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A Multi-Lingually Applicable Journalist Toolset For The Big-Data Era

G. Kiomourtzis, G. Giannakopoulos, V. Karkaletsis, A. Kosmopoulos
2016 Zenodo  
In IJCAI proceedings. Workshop: Natural Language Processing meets Journalism  ...  This research was supported in part by a Discovery and Innovation Research Seed award from the Office of the Vice Provost for Research at Cornell.  ...  Acknowledgments This paper is supported by the project "Your Data Stories -YDS", which has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement  ... 
doi:10.5281/zenodo.1242850 fatcat:nfkqg7jhjffdvgezdjzc6xxppa

Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? [article]

Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021 pre-print
We focus on music recommendation and conduct experiments on the recently released standardized LFM-2b dataset, containing listening profiles of Last.fm users.  ...  In this work, in contrast, we propose to investigate popularity differences (between the user profile and recommendation list) in terms of median, a variety of statistical moments, as well as similarity  ...  In Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II (Lecture Notes in Computer Science, Vol. 12036)  ... 
doi:10.1145/3460231.3478843 arXiv:2108.06973v1 fatcat:4kw2s6yjgbbm5a7rffqbpsh46q