Cross-domain recommendation with user personality
Recommender systems have long played indispensable roles in e-commerce by helping
users find their preferred products efficiently and accurately. In recent years, some …
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 …
data sparsity problems in recommender systems. This can be achieved by leveraging …
Deep shared learning and attentive domain mapping for cross-domain recommendation
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 …
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)
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 …
have steadily matured. However, these state-of-the-art algorithms are typically applied in …
Metadata based Cross-Domain Recommender Framework using Neighborhood Mapping
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 …
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 …
data sparsity problems in recommender systems. This can be achieved by leveraging …
Third workshop on recommendation in complex scenarios (ComplexreC 2019)
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 …
have steadily matured. However, these state-of-the-art algorithms are typically applied in …