Mobile app recommendation via heterogeneous graph neural network in edge computing
As a new computing technology proposed with the development of 5G, IoT technologies and
increasing requirement of mobile applications and services, edge computing enables …
increasing requirement of mobile applications and services, edge computing enables …
A deep multi-embedding model for mobile application recommendation
YH Liu, YL Chen, PY Chang - Decision Support Systems, 2023 - Elsevier
With the explosion in the number of mobile applications, it becomes difficult and time-
consuming for users to find the most suitable and interesting application from the millions of …
consuming for users to find the most suitable and interesting application from the millions of …
Csbr: A compositional semantics-based service bundle recommendation approach for mashup development
Q Gu, J Cao, Y Liu - IEEE Transactions on Services Computing, 2021 - ieeexplore.ieee.org
An increasing number of services are being offered which leads to difficulties in choosing
appropriate services during mashup development. Currently, several service …
appropriate services during mashup development. Currently, several service …
SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework
Due to the rapid development of technology and the widespread usage of smartphones, the
number of mobile applications is exponentially growing. Finding a suitable collection of apps …
number of mobile applications is exponentially growing. Finding a suitable collection of apps …
Enhancing mobile app recommendations through adaptive fusion of long-term stability and short-term interests
The exponential growth in mobile application has greatly enhanced convenience in daily
life, yet it has also complicated the process for users to find necessary apps in crowded …
life, yet it has also complicated the process for users to find necessary apps in crowded …
A knowledge graph based approach for mobile application recommendation
With the rapid prevalence of mobile devices and the dramatic proliferation of mobile
applications (apps), app recommendation becomes an emergent task that would benefit …
applications (apps), app recommendation becomes an emergent task that would benefit …
Service recommendation based on contrastive learning and multi-task learning
T Yu, L Zhang, H Liu, H Liu, JJ Wang - Computer Communications, 2024 - Elsevier
Abstract Service recommendation is an efficient method for service-oriented software that
can improve software quality. Applications often require the integration of multiple services …
can improve software quality. Applications often require the integration of multiple services …
Graph neural network and multi-view learning based mobile application recommendation in heterogeneous graphs
F **e, Z Cao, Y Xu, L Chen… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
With the popularity of smartphones, mobile applications (mobile apps) have become a
necessity in people's lives and work. Massive apps provide users with a variety of choices …
necessity in people's lives and work. Massive apps provide users with a variety of choices …
An Approach for Privacy-aware Mobile App Package Recommendation
With the prosperity of the mobile Internet, the abundance of data makes it difficult for users to
choose their favorite app. Thus, mobile app recommendation as an emerging topic attracts …
choose their favorite app. Thus, mobile app recommendation as an emerging topic attracts …
Deep learning based web service recommendation methods: A survey
Web service recommender systems have a fundamental role in the selection, composition
and substitution of services. Indeed, they are used in several application areas such as Web …
and substitution of services. Indeed, they are used in several application areas such as Web …