MAMDR: A model agnostic learning framework for multi-domain recommendation

L Luo, Y Li, B Gao, S Tang, S Wang, J Li… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
Large-scale e-commercial platforms in the real-world usually contain various
recommendation scenarios (domains) to meet demands of diverse customer groups. Multi …

MAMDR: a model agnostic learning method for multi-domain recommendation

L Luo, Y Li, B Gao, S Tang, S Wang, J Li, T Zhu… - arXiv preprint arXiv …, 2022 - arxiv.org
Large-scale e-commercial platforms in the real-world usually contain various
recommendation scenarios (domains) to meet demands of diverse customer groups. Multi …

Studying mate choice using digital trace data from online dating

J Skopek - Research Handbook on Digital Sociology, 2023 - elgaronline.com
Online and mobile dating1 has grown to become a significant social-digital technology (see
also Coyle & Alexopoulos, Chapter 11 in this volume). Survey evidence indicates that, today …

[PDF][PDF] Studying mate choice using digital trace data from online dating

E Elgar, J Skopek - researchgate.net
Chapter 12: Studying mate choice using digital trace data from online dating Page 1 1 Chapter
12: Studying mate choice using digital trace data from online dating Preprint version of Skopek …