Getting to Know Your Neighbors (KYN) : explaining item similarity in nearest neighbors collaborative filtering recommendations / Joanna MISZTAL-RADECKA, Bipin Indurkhya // W: UMAP’20 Adjunct : Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization : July 14–17, 2020, Genoa, Italy. — New York : Association for Computing Machinery, Inc. (ACM), cop. 2020. — ISBN: 978-1-4503-6711-0. — S. 59–64. — Bibliogr., Abstr.

Persona prototypes for improving the qualitative evaluation of recommendation systems / Joanna MISZTAL-RADECKA, Bipin Indurkhya // W: UMAP’20 Adjunct : Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization : July 14–17, 2020, Genoa, Italy. — New York : Association for Computing Machinery, Inc. (ACM), cop. 2020. — ISBN: 978-1-4503-6711-0. — S. 206–212. — Bibliogr., Abstr.

Trend-responsive user segmentation enabling traceable publishing insights : a case study of a real-world large-scale news recommendation system / Joanna MISZTAL-RADECKA, Dominik Rusiecki, Michał Żmuda, Artur Bujak // W: INRA 2019 [Dokument elektroniczny] : News Recommendation and Analytics : proceedings of the 7th International Workshop on News Recommendation and Analytics (INRA 2019) in conjunction with 13th ACM conference on Recommender Systems (RecSys 2019) : Copenhagen, Denmark, September 20, 2019 / ed. by Özlem Özgöbek [et al.]. — Wersja do Windows. — Dane tekstowe. — [Copenhagen] : CEUR, cop. 2020. — (CEUR Workshop Proceedings ; ISSN 1613-0073 ; vol. 2554). — s. 53–62. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: http://ceur-ws.org/Vol-2554/paper_08.pdf [2020-06-25]. — Bibliogr. s. 61–62, Abstr.. — Publikacja dostępna online od: 2020-02-15. — J. Misztal-Radecka - pierwsza afiliacja: Ringier Axel Springer Polska. — M. Żmuda - afiliacja: Ringier Axel Springer Polska