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) …
Temporal pattern-aware QoS prediction via biased non-negative latent factorization of tensors
Quality-of-service (QoS) data vary over time, making it vital to capture the temporal patterns
hidden in such dynamic data for predicting missing ones with high accuracy. However …
hidden in such dynamic data for predicting missing ones with high accuracy. However …
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 …
Advancing non-negative latent factorization of tensors with diversified regularization schemes
Dynamic relationships are frequently encountered in big data and services computing-
related applications, like dynamic data of user-side QoS in Web services. They are modeled …
related applications, like dynamic data of user-side QoS in Web services. They are modeled …
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 …
QoS time series modeling and forecasting for web services: a comprehensive survey
Y Syu, CM Wang - IEEE Transactions on Network and Service …, 2021 - ieeexplore.ieee.org
In research, time series-based (time-aware) QoS modeling and forecasting for Web services
(WSs) has been studied for over a decade, and a large number of research papers have …
(WSs) has been studied for over a decade, and a large number of research papers have …
Arabic stemming without a root dictionary
K Taghva, R Elkhoury, J Coombs - International Conference on …, 2005 - ieeexplore.ieee.org
We have implemented a root-extraction stemmer for Arabic which is similar to the Khoja
stemmer but without a root dictionary. Our stemmer was found to perform equivalently to the …
stemmer but without a root dictionary. Our stemmer was found to perform equivalently to the …
Adjusting learning depth in nonnegative latent factorization of tensors for accurately modeling temporal patterns in dynamic QoS data
A nonnegative latent factorization of tensors (NLFT) model precisely represents the temporal
patterns hidden in multichannel data emerging from various applications. It often adopts a …
patterns hidden in multichannel data emerging from various applications. It often adopts a …