Collaborative filtering recommender systems taxonomy
H Papadakis, A Papagrigoriou, C Panagiotakis… - … and Information Systems, 2022 - Springer
In the era of internet access, recommender systems try to alleviate the difficulty that
consumers face while trying to find items (eg, services, products, or information) that better …
consumers face while trying to find items (eg, services, products, or information) that better …
When services computing meets blockchain: Challenges and opportunities
Services computing can offer a high-level abstraction to support diverse applications via
encapsulating various computing infrastructures. Though services computing has greatly …
encapsulating various computing infrastructures. Though services computing has greatly …
A data-characteristic-aware latent factor model for web services QoS prediction
How to accurately predict unknown quality-of-service (QoS) data based on observed ones is
a hot yet thorny issue in Web service-related applications. Recently, a latent factor (LF) …
a hot yet thorny issue in Web service-related applications. Recently, a latent factor (LF) …
Context-aware QoS prediction with neural collaborative filtering for Internet-of-Things services
With the prevalent application of Internet of Things (IoT) in real world, services have become
a widely used means of providing configurable resources. As the number of services is large …
a widely used means of providing configurable resources. As the number of services is large …
Collaborative learning-based industrial IoT API recommendation for software-defined devices: the implicit knowledge discovery perspective
The industrial Internet of things (IIoT), a new computing mode in Industry 4.0, is deployed to
connect IoT devices and use communication technology to respond to control commands …
connect IoT devices and use communication technology to respond to control commands …
HRCF: Enhancing collaborative filtering via hyperbolic geometric regularization
In large-scale recommender systems, the user-item networks are generally scale-free or
expand exponentially. For the representation of the user and item, the latent features (aka …
expand exponentially. For the representation of the user and item, the latent features (aka …
Location-aware deep collaborative filtering for service recommendation
Y Zhang, C Yin, Q Wu, Q He… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the widespread application of service-oriented architecture (SOA), a flood of similarly
functioning services have been deployed online. How to recommend services to users to …
functioning services have been deployed online. How to recommend services to users to …
QoS-aware web service recommendation by collaborative filtering
With increasing presence and adoption of Web services on the World Wide Web, Quality-of-
Service (QoS) is becoming important for describing nonfunctional characteristics of Web …
Service (QoS) is becoming important for describing nonfunctional characteristics of Web …
Recommender systems for large-scale social networks: A review of challenges and solutions
Social networks have become very important for networking, communications, and content
sharing. Social networking applications generate a huge amount of data on a daily basis …
sharing. Social networking applications generate a huge amount of data on a daily basis …
QoS prediction for service recommendation with features learning in mobile edge computing environment
In recent years, deep neural networks have achieved exciting results in a variety of tasks,
and many fields try to introduce neural network techniques. In mobile edge computing, there …
and many fields try to introduce neural network techniques. In mobile edge computing, there …