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) …
An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems
A recommender system (RS) is highly efficient in filtering people's desired information from
high-dimensional and sparse (HiDS) data. To date, a latent factor (LF)-based approach …
high-dimensional and sparse (HiDS) data. To date, a latent factor (LF)-based approach …
A double-space and double-norm ensembled latent factor model for highly accurate web service QoS prediction
Quality-of-Service (QoS), which describes the non-functional characteristics of Web service,
is of great significance in service selection. Since users cannot invoke all services to obtain …
is of great significance in service selection. Since users cannot invoke all services to obtain …
A deep latent factor model for high-dimensional and sparse matrices in recommender systems
Recommender systems (RSs) commonly adopt a user-item rating matrix to describe users'
preferences on items. With users and items exploding, such a matrix is usually high …
preferences on items. With users and items exploding, such a matrix is usually high …
A posterior-neighborhood-regularized latent factor model for highly accurate web service QoS prediction
Neighborhood regularization is highly important for a latent factor (LF)-based Quality-of-
Service (QoS)-predictor since similar users usually experience similar QoS when invoking …
Service (QoS)-predictor since similar users usually experience similar QoS when invoking …
Web service QoS prediction via collaborative filtering: A survey
With the growing number of competing Web services that provide similar functionality,
Quality-of-Service (QoS) prediction is becoming increasingly important for various QoS …
Quality-of-Service (QoS) prediction is becoming increasingly important for various QoS …
Energy-efficient VM scheduling based on deep reinforcement learning
B Wang, F Liu, W Lin - Future Generation Computer Systems, 2021 - Elsevier
Achieving data center resource optimization and QoS guarantee driven by high energy
efficiency has become a research hotspot. However, QoS information directly sampled from …
efficiency has become a research hotspot. However, QoS information directly sampled from …
A probability distribution detection based hybrid ensemble QoS prediction approach
J Li, J Lin - Information Sciences, 2020 - Elsevier
Recently, with the rapid increase in the number of web services, how to discover services to
meet personalized requirements of users in large-scale scenarios has become a popular …
meet personalized requirements of users in large-scale scenarios has become a popular …
Continuous trajectory similarity search with result diversification
X Yu, S Zhu, Y Ren - Future Generation Computer Systems, 2023 - Elsevier
With the continued increasing availability of spatio-temporal data from GPS-equipped
devices, online map services, and a variety of location-based social media, trajectory …
devices, online map services, and a variety of location-based social media, trajectory …
Outlier-resilient web service qos prediction
The proliferation of Web services makes it difficult for users to select the most appropriate
one among numerous functionally identical or similar service candidates. Quality-of-Service …
one among numerous functionally identical or similar service candidates. Quality-of-Service …