A deep learning based trust-and tag-aware recommender system
Recommender systems are popular tools used in many applications, such as e-commerce, e-
learning, and social networks to help users select their desired items. Collaborative filtering …
learning, and social networks to help users select their desired items. Collaborative filtering …
A fairness-aware graph contrastive learning recommender framework for social tagging systems
Personalized recommendations for social tagging systems aim to deliver high-quality
recommendations for users and annotate meaningful characteristics on items. However …
recommendations for users and annotate meaningful characteristics on items. However …
RDERL: Reliable deep ensemble reinforcement learning-based recommender system
Recommender systems (RSs) have been employed for many real-world applications
including search engines, social networks, and information retrieval systems as powerful …
including search engines, social networks, and information retrieval systems as powerful …
When box meets graph neural network in tag-aware recommendation
Last year has witnessed the re-flourishment of tag-aware recommender systems supported
by the LLM-enriched tags. Unfortunately, though large efforts have been made, current …
by the LLM-enriched tags. Unfortunately, though large efforts have been made, current …
Reasoner: An explainable recommendation dataset with comprehensive labeling ground truths
Explainable recommendation has attracted much attention from the industry and academic
communities. It has shown great potential to improve the recommendation persuasiveness …
communities. It has shown great potential to improve the recommendation persuasiveness …
Collaborative Tag-Aware Graph Neural Network for Long-Tail Service Recommendation
Long-tail service recommendation provides an unexpected but reasonable experience for
potential developers when they construct mashups. However, the lack of available …
potential developers when they construct mashups. However, the lack of available …
KHGCN: Knowledge-Enhanced Recommendation with Hierarchical Graph Capsule Network
F Chen, G Yin, Y Dong, G Li, W Zhang - Entropy, 2023 - mdpi.com
Knowledge graphs as external information has become one of the mainstream directions of
current recommendation systems. Various knowledge-graph-representation methods have …
current recommendation systems. Various knowledge-graph-representation methods have …
Textual tag recommendation with multi-tag topical attention
Tagging can be regarded as the action of connecting relevant user-defined keywords to an
item, indirectly improving the quality of the information retrieval services that rely on tags as …
item, indirectly improving the quality of the information retrieval services that rely on tags as …
An effective profile expansion technique based on movie genres and user demographic information to improve movie recommendation systems
S Mohamadi, V Aghazarian, A Hedayati - Multimedia Tools and …, 2023 - Springer
Movie recommendation systems are efficient tools to help users find their relevant movies by
investigating the previous interests of users. These systems are established on considering …
investigating the previous interests of users. These systems are established on considering …
Tral: A tag-aware recommendation algorithm based on attention learning
Y Zuo, S Liu, Y Zhou, H Liu - Applied Sciences, 2023 - mdpi.com
A social tagging system improves recommendation performance by introducing tags as
auxiliary information. These tags are text descriptions of target items provided by individual …
auxiliary information. These tags are text descriptions of target items provided by individual …