An efficient group recommendation model with multiattention-based neural networks
Group recommendation research has recently received much attention in a recommender
system community. Currently, several deep-learning-based methods are used in group …
system community. Currently, several deep-learning-based methods are used in group …
Multimodal representation learning for recommendation in Internet of Things
Z Huang, X Xu, J Ni, H Zhu… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
The recommender system has recently drawn a lot of attention to the communities of
information services and mobile applications. Many deep learning-based recommendation …
information services and mobile applications. Many deep learning-based recommendation …
TRec: an efficient recommendation system for hunting passengers with deep neural networks
Z Huang, G Shan, J Cheng, J Sun - Neural Computing and Applications, 2019 - Springer
Discovering hidden knowledge patterns in trajectory data can help to hunt passengers for
taxi drivers. And it is an important issue in the intelligent transportation domain. However, the …
taxi drivers. And it is an important issue in the intelligent transportation domain. However, the …
An effective recommendation model based on deep representation learning
J Ni, Z Huang, J Cheng, S Gao - Information Sciences, 2021 - Elsevier
Recommender system has recently attracted a lot of attention in the information service
community. Currently, most recommendation models use deep neural networks to learn user …
community. Currently, most recommendation models use deep neural networks to learn user …
Improving user recommendation by extracting social topics and interest topics of users in uni-directional social networks
With the rapid growth of population on social networks, people are confronted with
information overload problem. This clearly makes filtering the targeted users a demanding …
information overload problem. This clearly makes filtering the targeted users a demanding …
A novel attention-based global and local information fusion neural network for group recommendation
Due to the popularity of group activities in social media, group recommendation becomes
increasingly significant. It aims to pursue a list of preferred items for a target group. Most …
increasingly significant. It aims to pursue a list of preferred items for a target group. Most …
Water eutrophication assessment based on rough set and multidimensional cloud model
This investigation developed a hybrid rough set (RST) and multidimensional cloud model
(RSMCM) to leverage the unique strengths of RST and cloud modeling to evaluate the …
(RSMCM) to leverage the unique strengths of RST and cloud modeling to evaluate the …
Competitive gamification in crowdsourcing-based contextual-aware recommender systems
YL Lin, ND Ding - International Journal of Human-Computer Studies, 2023 - Elsevier
During the COVID-19 outbreak, crowdsourcing-based context-aware recommender systems
(CARS) which capture the real-time context in a contactless manner played an important …
(CARS) which capture the real-time context in a contactless manner played an important …
[PDF][PDF] An Intelligent Recommendation System for Real Estate Commodity.
TY Ou, GY Lin, HP Fu, SC Wei… - Comput. Syst. Sci. Eng …, 2022 - cdn.techscience.cn
Most real estate agents develop new objects by visiting unfamiliar clients, distributing
leaflets, or browsing other real estate trading website platforms, whereas consumers often …
leaflets, or browsing other real estate trading website platforms, whereas consumers often …
[PDF][PDF] Alignment of 3d building models with satellite images using extended chamfer matching
Large scale alignment of 3D building models and satellite images has many applications
ranging from realistic 3D city modeling to urban planning. In this paper, we address this …
ranging from realistic 3D city modeling to urban planning. In this paper, we address this …