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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Mitigating domain adaptation and cold start challenges in cross-domain recommender systems using generative adversarial network model

2025Electronic Commerce Research and ApplicationsJournal

10.1016/j.elerap.2025.101564 Full text2 citations

Authors

3 authors across 2 institutions in 2 countries.

Matthew O. AyemowaFirst authorCorresponding
- Delta State Polytechnic Ogwashi-Uku (NG)
Roliana Ibrahim
Noor Hidayah ZakariaSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Recommender Systems and Techniqueslevel 3 · 0.51
Domain Adaptation and Few-Shot Learninglevel 3 · 0.12
Generative Adversarial Networks and Image Synthesislevel 3 · 0.05

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2025 · Electronic Commerce Research and Applications · 2 citations
https://openalex.org/W4416662183

Mitigating domain adaptation and cold start challenges in cross-domain recommender systems using generative adversarial network model · Sankore