Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s10660-021-09488-7.pdf
Reference60 articles.
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1. KT-CDULF: Knowledge Transfer in Context-Aware Cross-Domain Recommender Systems via Latent User Profiling;IEEE Access;2024
2. A Hybrid Solution For The Cold Start Problem In Recommendation;The Computer Journal;2023-08-26
3. A Flexible Two-Tower Model for Item Cold-Start Recommendation;IEEE Access;2023
4. Context-Aware Recommendation System Survey: Recommendation When Adding Contextual Information;2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);2022-12-13
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