A spatial–temporal hypergraph based method for service recommendation in the Mobile Internet of Things-enabled service platform

Z Jia, Y Fan, C Wei, R Yan - Advanced Engineering Informatics, 2023 - Elsevier
With the rapid progress of Mobile Internet of Things (MIoT), Location-Based Services (LBSs)
have become widely popular due to the deployment of diverse devices and facilities. The …

MGMASR: Multi-Graph and Multi-Aspect Neural Network for Service Recommendation in Internet of Services

Z Jia, Y Fan, J Zhang - IEEE Transactions on Network and …, 2023 - ieeexplore.ieee.org
With the flourishing development of Everything-as-a-Service (EaaS) and Internet of
Everything (IoE), Internet of Services (IoS) has recently emerged as a new buzzword in the …

Dynamic Relation Graph Learning for Time-aware Service Recommendation

C Wei, Y Fan, J Zhang, Z Jia… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Driven by Service-Oriented Computing, time-aware service recommendation aims to support
personalized mashup development, adapting to the rapid shifts of users' dynamic …

Time-aware service recommendation with social-powered graph hierarchical attention network

C Wei, Y Fan, J Zhang - IEEE Transactions on Services …, 2022 - ieeexplore.ieee.org
Driven by Service-Oriented Computing techniques, time-aware service recommendation
aims to support personalized mashup development, adapting to the rapid shifts of users' …

Personalized recommendation of location-based services using spatio-temporal-aware long and short term neural network

X Sheng, F Wang, Y Zhu, T Liu, H Chen - IEEE Access, 2022 - ieeexplore.ieee.org
User behavioral data are critical for predicting the next item in a recommendation system,
which can be acquired by location-based services. However, existing approaches directly …

Location-aware feature interaction learning for web service recommendation

Z Wang, Y Xiao, C Sun, W Zheng… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
With the increasing prevalence of web services on the World Wide Web, a large number of
functionally equivalent web services are provided by different providers. Quality-of-Service …

Recurrent tensor factorization for time-aware service recommendation

Y Zhang, C Yin, Z Lu, D Yan, M Qiu, Q Tang - Applied Soft Computing, 2019 - Elsevier
With the advent of the era “everything is service”, the emergence of Web services on the
Internet is experiencing an exponential growth trend. How to recommend services to users …

Time-aware service recommendation based on dynamic preference and QoS

Y Zhang, Z Li, X Tang, F Chen - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The historical data of services usage shows us that both user preference and service quality
are dynamic, and service quality has a certain influence on user preference. Due to the …

Factorization machine based service recommendation on heterogeneous information networks

F Xie, L Chen, Y Ye, Z Zheng… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
With the wide adoption of SOA (Service Oriented Architecture), a massive amount of
innovative applications emerge in the Internet. One of the popular representations is …

An effective points of interest recommendation approach based on embedded meta‐path of spatiotemporal data

R Song, T Li, X Dong, Z Ding - Expert Systems, 2023 - Wiley Online Library
With the development of mobile networks and the rapid prevalence of location‐based social
networks (LBSN), a massive volume of spatiotemporal data has been generated, which is …