A unified framework for cross-domain and cross-system recommendations
Cross-Domain Recommendation (CDR) and Cross-System Recommendation (CSR) have
been proposed to improve the recommendation accuracy in a target dataset …
been proposed to improve the recommendation accuracy in a target dataset …
Self-Attention Mechanism-Based Federated Learning Model for Cross Context Recommendation System
The traditional single-context recommendation algorithm is constrained by the sparse
connection between users and items and a user/item cold start problem. Based on the …
connection between users and items and a user/item cold start problem. Based on the …
Cross Domain Recommendation Systems using Deep Learning: A Systematic Literature Review
AK Gahier, SK Gujral - Proceedings of the International Conference …, 2021 - papers.ssrn.com
Recommender Systems play an inevitable role nowadays as in every field, there are
plethora of choices to consider. With the advent of more and more Artificial Intelligence and …
plethora of choices to consider. With the advent of more and more Artificial Intelligence and …
Entity knowledge transfer-oriented dual-target cross-domain recommendations
Cross-domain recommendations can assist users in selecting suitable items in the target
domain by aggregating or transferring the abundant available data from the auxiliary …
domain by aggregating or transferring the abundant available data from the auxiliary …
An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations
Cross-Domain Recommendation (CDR) has been proposed to improve the
recommendation accuracy in the target domain (the sparser dataset) by benefiting from the …
recommendation accuracy in the target domain (the sparser dataset) by benefiting from the …
ADCMDES: Design of an augmented cross-domain collaborative recommendation model using novel distance metric and ensemble stratification
I Hariyale, MM Raghuwanshi - Vietnam Journal of Science and …, 2024 - vjs.ac.vn
Collaborative recommendation involves leveraging information from one entity to suggest
attributes of other entities through pattern analysis. These models are invaluable for …
attributes of other entities through pattern analysis. These models are invaluable for …
[PDF][PDF] A Unified Framework for Cross-Domain and Cross-System Recommendations
L Li, G Liu - CDR, 2021 - researchgate.net
Cross-Domain Recommendation (CDR) and Cross-System Recommendation (CSR) have
been proposed to improve the recommendation accuracy in a target dataset …
been proposed to improve the recommendation accuracy in a target dataset …