Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

A systematic review of the literature on deep learning approaches for cross-domain recommender systems

2024Decision Analytics JournalJournalOpen access

10.1016/j.dajour.2024.100518 Full text28 citations

Authors

3 authors across 3 institutions in 2 countries.

Matthew O. AyemowaFirst authorCorresponding
- Delta State Polytechnic Ogwashi-Uku (NG)
Roliana Ibrahim
Yunusa Adamu BenaSenior author
- Abdullahi Fodio University of Science and Technology (NG)

Fields

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

Recommender Systems and Techniqueslevel 3 · 1.00
Image Retrieval and Classification Techniqueslevel 3 · 0.98
Advanced Graph Neural Networkslevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2024 · Decision Analytics Journal · 28 citations
https://openalex.org/W4402509128

A systematic review of the literature on deep learning approaches for cross-domain recommender systems · Sankore