Current challenges and visions in music recommender systems research
Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …
the emergence and success of online streaming services, which nowadays make available …
Cross domain recommender systems: A systematic literature review
Cross domain recommender systems (CDRS) can assist recommendations in a target
domain based on knowledge learned from a source domain. CDRS consists of three …
domain based on knowledge learned from a source domain. CDRS consists of three …
Collaborative filtering with attribution alignment for review-based non-overlapped cross domain recommendation
Cross-Domain Recommendation (CDR) has been popularly studied to utilize different
domain knowledge to solve the data sparsity and cold-start problem in recommender …
domain knowledge to solve the data sparsity and cold-start problem in recommender …
Cross-domain recommender systems
The proliferation of e-commerce sites and online social media has allowed users to provide
preference feedback and maintain profiles in multiple systems, reflecting a variety of their …
preference feedback and maintain profiles in multiple systems, reflecting a variety of their …
π-net: A parallel information-sharing network for shared-account cross-domain sequential recommendations
Sequential Recommendation (SR) is the task of recommending the next item based on a
sequence of recorded user behaviors. We study SR in a particularly challenging context, in …
sequence of recorded user behaviors. We study SR in a particularly challenging context, in …
A cross-domain recommender system with consistent information transfer
Recommender systems provide users with personalized online product and service
recommendations and are a ubiquitous part of today's online entertainment smorgasbord …
recommendations and are a ubiquitous part of today's online entertainment smorgasbord …
Dual metric learning for effective and efficient cross-domain recommendations
P Li, A Tuzhilin - IEEE Transactions on Knowledge and Data …, 2021 - ieeexplore.ieee.org
Cross domain recommender systems have been increasingly valuable for helping
consumers identify useful items in different applications. However, existing cross-domain …
consumers identify useful items in different applications. However, existing cross-domain …
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization
Providing relevant personalized recommendations for new users is one of the major
challenges in recommender systems. This problem, known as the user cold start has been …
challenges in recommender systems. This problem, known as the user cold start has been …
Cross-domain recommendation via deep domain adaptation
The behavior of users in certain services indicates their preferences, which may be used to
make recommendations for other services they have never used. However, the cross …
make recommendations for other services they have never used. However, the cross …
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation
Unsupervised Non-overlapping Cross-domain Recommendation (UNCR) is the task that
recommends source domain items to the target domain users, which is more challenging as …
recommends source domain items to the target domain users, which is more challenging as …