Cross-domain recommendation with user personality

H Wang, Y Zuo, H Li, J Wu - Knowledge-Based Systems, 2021 - Elsevier
Recommender systems have long played indispensable roles in e-commerce by helping
users find their preferred products efficiently and accurately. In recent years, some …

Privacy-preserving matrix factorization for cross-domain recommendation

TB Ogunseyi, CB Avoussoukpo, Y Jiang - IEEE Access, 2021 - ieeexplore.ieee.org
Cross-domain recommender systems are known to provide solutions to the cold start and
data sparsity problems in recommender systems. This can be achieved by leveraging …

Deep shared learning and attentive domain mapping for cross-domain recommendation

S Gheewala, S Xu, S Yeom - User Modeling and User-Adapted Interaction, 2024 - Springer
Cross-domain recommendations (CDR) present a viable solution and are increasingly used
to address the cold-start problem. Recently, CDR methods are utilizing deep models to …

Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019)

M Koolen, B Mobasher, T Bogers… - CEUR Workshop …, 2019 - vbn.aau.dk
Over the past decade, recommendation algorithms for ratings prediction and item ranking
have steadily matured. However, these state-of-the-art algorithms are typically applied in …

Metadata based Cross-Domain Recommender Framework using Neighborhood Mapping

R Khan, N Iltaf, MU Shafiq… - … and Engineering (i …, 2023 - ieeexplore.ieee.org
With the overwhelming growth of data there comes a challenge of extracting meaningful and
useful information from that data and use it in the most optimized fashion. Modern …

[PDF][PDF] Privacy-Preserving Matrix Factorization for Cross-Domain Recommendation

Y JIANG - academia.edu
Cross-domain recommender systems are known to provide solutions to the cold start and
data sparsity problems in recommender systems. This can be achieved by leveraging …

Third workshop on recommendation in complex scenarios (ComplexreC 2019)

M Koolen, T Bogers, B Mobasher… - Proceedings of the 13th …, 2019 - dl.acm.org
Over the past decade, recommendation algorithms for ratings prediction and item ranking
have steadily matured. However, these state-of-the-art algorithms are typically applied in …