A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation
Summary
A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation is a scholarly article[1].
Key Facts
A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-maximum-margin-matrix-factorization-based-transfer-learning-approach-for-cross-domain-recommendation
MLA“A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-maximum-margin-matrix-factorization-based-transfer-learning-approach-for-cross-domain-recommendation.
BibTeX@misc{4ortxyz_a-maximum-margin-matrix-factorization-based-transfer-learning-approach-for-cross-domain-recommendation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation}}, year = {2026}, url = {https://4ort.xyz/entity/a-maximum-margin-matrix-factorization-based-transfer-learning-approach-for-cross-domain-recommendation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation — https://4ort.xyz/entity/a-maximum-margin-matrix-factorization-based-transfer-learning-approach-for-cross-domain-recommendation (retrieved 2026-05-24)
