Deep modeling of social relations for recommendation
Social-based recommender systems have been recently proposed by incorporating social
relations of users to alleviate sparsity issue of user-to-item rating data and to improve …
relations of users to alleviate sparsity issue of user-to-item rating data and to improve …
Overlapping community regularization for rating prediction in social recommender systems
Recommender systems have become de facto tools for suggesting items that are of potential
interest to users. Predicting a user's rating on an item is the fundamental recommendation …
interest to users. Predicting a user's rating on an item is the fundamental recommendation …
A general framework for implicit and explicit social recommendation
CC Hsu, MY Yeh - IEEE Transactions on Knowledge and …, 2018 - ieeexplore.ieee.org
Research of social recommendation aims at exploiting social information to improve the
quality of a recommender system. It can be further divided into two classes. Explicit social …
quality of a recommender system. It can be further divided into two classes. Explicit social …
Towards context-aware social recommendation via individual trust
Incorporating social network information and contexts to improve recommendation
performance has been drawing considerable attention recently. However, a majority of …
performance has been drawing considerable attention recently. However, a majority of …
Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems
Social recommendation leverages social information to solve data sparsity and cold-start
problems in traditional collaborative filtering methods. However, most existing models …
problems in traditional collaborative filtering methods. However, most existing models …
Deep social collaborative filtering
Recommender systems are crucial to alleviate the information overload problem in online
worlds. Most of the modern recommender systems capture users' preference towards items …
worlds. Most of the modern recommender systems capture users' preference towards items …
Social recommendation model combining trust propagation and sequential behaviors
Z Zhang, H Liu - Applied Intelligence, 2015 - Springer
All types of recommender systems have been thoroughly explored and developed in
industry and academia with the advent of online social networks. However, current studies …
industry and academia with the advent of online social networks. However, current studies …
Harnessing heterogeneous social networks for better recommendations: A grey relational analysis approach
L Weng, Q Zhang, Z Lin, L Wu - Expert Systems with Applications, 2021 - Elsevier
Most of the extant studies in social recommender system are based on explicit social
relationships, while the potential of implicit relationships in the heterogeneous social …
relationships, while the potential of implicit relationships in the heterogeneous social …
Social attentional memory network: Modeling aspect-and friend-level differences in recommendation
Social connections are known to be helpful for modeling users' potential preferences and
improving the performance of recommender systems. However, in social-aware …
improving the performance of recommender systems. However, in social-aware …
Learning personalized preference of strong and weak ties for social recommendation
Recent years have seen a surge of research on social recommendation techniques for
improving recommender systems due to the growing influence of social networks to our daily …
improving recommender systems due to the growing influence of social networks to our daily …