Context-aware recommender systems for social networks: review, challenges and opportunities
AB Suhaim, J Berri - IEEE Access, 2021 - ieeexplore.ieee.org
Context-aware recommender systems dedicated to online social networks experienced
noticeable growth in the last few years. This has led to more research being done in this …
noticeable growth in the last few years. This has led to more research being done in this …
Learning to recommend with multiple cascading behaviors
Most existing recommender systems leverage user behavior data of one type only, such as
the purchase behavior in E-commerce that is directly related to the business Key …
the purchase behavior in E-commerce that is directly related to the business Key …
Semantic-enhanced and context-aware hybrid collaborative filtering for event recommendation in event-based social networks
The fast development of event-based social networks (EBSN) provides a convenient
platform for recruiting offline participants via online event announcements. Given its ever …
platform for recruiting offline participants via online event announcements. Given its ever …
Cold-start point-of-interest recommendation through crowdsourcing
Recommender system is a popular tool that aims to provide personalized suggestions to
user about items, products, services, and so on. Recommender system has effectively been …
user about items, products, services, and so on. Recommender system has effectively been …
Npe: neural personalized embedding for collaborative filtering
Matrix factorization is one of the most efficient approaches in recommender systems.
However, such algorithms, which rely on the interactions between users and items, perform …
However, such algorithms, which rely on the interactions between users and items, perform …
Variational Type Graph Autoencoder for Denoising on Event Recommendation
S Zhang, X Meng, Y Zhang - ACM Transactions on Information Systems, 2024 - dl.acm.org
Recommendations for events play a pivotal role in facilitating the discovery of upcoming
intriguing events within Event-Based Social Networks (EBSNs). Previous research has …
intriguing events within Event-Based Social Networks (EBSNs). Previous research has …
Manufacturing cloud service recommendation model based on deep feature learning and user preference perception
S Huang, Y Wang, A Long, X Zhu… - International Journal of …, 2024 - Taylor & Francis
The manufacturing cloud service recommendation model is a key technology for users to
quickly discover and obtain the personalized services they need from the increasingly …
quickly discover and obtain the personalized services they need from the increasingly …
A hybrid approach to service recommendation based on network representation learning
H Wu, H Zhang, P He, C Zeng, Y Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
Network representation learning has attracted much attention as a new learning paradigm to
embed network vertices into a low-dimensional vector space, by preserving network …
embed network vertices into a low-dimensional vector space, by preserving network …
HIBoosting: A recommender system based on a gradient boosting machine
Y Shao, C Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Based on explicit data, collaborative filtering is one of the most valuable technologies of a
recommender system. However, the further development of a recommender system has …
recommender system. However, the further development of a recommender system has …
Heterogeneous information network embedding for mention recommendation
F Yi, B Jiang, J Wu - IEEE Access, 2020 - ieeexplore.ieee.org
Mention recommendation is the task of recommending the right candidate users in a
message. Many works have been conducted on the problem of whom to mention. However …
message. Many works have been conducted on the problem of whom to mention. However …