Federated social recommendation with graph neural network
Recommender systems have become prosperous nowadays, designed to predict users'
potential interests in items by learning embeddings. Recent developments of the Graph …
potential interests in items by learning embeddings. Recent developments of the Graph …
Context-aware recommender systems in mobile environment: On the road of future research
Recommender systems have recently been singled out as a fascinating area of research,
owing to the technological progress in mobile devices, such as smartphones and tablets, as …
owing to the technological progress in mobile devices, such as smartphones and tablets, as …
Systematic review of contextual suggestion and recommendation systems for sustainable e-tourism
Agenda 2030 of Sustainable Development Goals (SDGs) 9 and 11 recognizes tourism as
one of the central industries to global development to tackle global challenges. With the …
one of the central industries to global development to tackle global challenges. With the …
A deep graph neural network-based mechanism for social recommendations
Z Guo, H Wang - IEEE Transactions on Industrial Informatics, 2020 - ieeexplore.ieee.org
Nowadays, the issue of information overload is gradually gaining exposure in the Internet of
Things (IoT), calling for more research on recommender system in advance for industrial IoT …
Things (IoT), calling for more research on recommender system in advance for industrial IoT …
Deep learning-embedded social internet of things for ambiguity-aware social recommendations
With the increasing demand of users for personalized social services, social
recommendation (SR) has been an important concern in academia. However, current …
recommendation (SR) has been an important concern in academia. However, current …
Leveraging social connections to improve personalized ranking for collaborative filtering
Recommending products to users means estimating their preferences for certain items over
others. This can be cast either as a problem of estimating the rating that each user will give …
others. This can be cast either as a problem of estimating the rating that each user will give …
iGSLR: personalized geo-social location recommendation: a kernel density estimation approach
JD Zhang, CY Chow - Proceedings of the 21st ACM SIGSPATIAL …, 2013 - dl.acm.org
With the rapidly growing location-based social networks (LBSNs), personalized geo-social
recommendation becomes an important feature for LBSNs. Personalized geo-social …
recommendation becomes an important feature for LBSNs. Personalized geo-social …
A social recommender system based on reliable implicit relationships
Recommender systems attempt to suggest information that is of potential interest to users
hel** them to quickly find information relevant to them. In addition to historical user–item …
hel** them to quickly find information relevant to them. In addition to historical user–item …
User preference learning for online social recommendation
A social recommendation system has attracted a lot of attention recently in the research
communities of information retrieval, machine learning, and data mining. Traditional social …
communities of information retrieval, machine learning, and data mining. Traditional social …
Prediction of microbe–disease association from the integration of neighbor and graph with collaborative recommendation model
Background Accumulating clinical researches have shown that specific microbes with
abnormal levels are closely associated with the development of various human diseases …
abnormal levels are closely associated with the development of various human diseases …