Time-aware cloud service recommendation using similarity-enhanced collaborative filtering and ARIMA model
The quality of service (QoS) of cloud services change frequently over time. Existing service
recommendation approaches either ignore this property or address it inadequately, leading …
recommendation approaches either ignore this property or address it inadequately, leading …
Temporal knowledge graph embedding for effective service recommendation
H Mezni - IEEE Transactions on Services Computing, 2021 - ieeexplore.ieee.org
Over the last decade, service selection and recommendation had been two strongly related
service filtering steps. While service selection aims to filter the best available services …
service filtering steps. While service selection aims to filter the best available services …
Time‐aware service recommendation: Taxonomy, review, and challenges
H Mezni, M Fayala - Software: Practice and Experience, 2018 - Wiley Online Library
Nowadays, a huge number of available Web services offer the same functionalities and a
high quality of service, which makes the selection of suitable services a difficult task. In such …
high quality of service, which makes the selection of suitable services a difficult task. In such …
An evolutionary clustering approach based on temporal aspects for context-aware service recommendation
H Mezni, S Ait Arab, D Benslimane… - Journal of Ambient …, 2020 - Springer
Over the last years, recommendation techniques have emerged to cope with the challenging
task of optimal service selection, and to help consumers satisfy their needs and preferences …
task of optimal service selection, and to help consumers satisfy their needs and preferences …
Web service recommendation based on time‐aware users clustering and multi‐valued QoS prediction
M Fayala, H Mezni - Concurrency and Computation: Practice …, 2020 - Wiley Online Library
With the growing number of functionally similar services over the Internet, recommendation
techniques become a natural choice to cope with the challenging task of optimal service …
techniques become a natural choice to cope with the challenging task of optimal service …
Risk assessment in software supply chains using the Bayesian method
AFH Librantz, I Costa, MM Spinola… - … Journal of Production …, 2021 - Taylor & Francis
In recent years, the software production industry has experienced significant changes
largely caused by extensive growth of globalisation, outsourcing, and competitive pressure …
largely caused by extensive growth of globalisation, outsourcing, and competitive pressure …
Exploiting user mobility for time-aware POI recommendation in social networks
HT Zheng, Y Zhou, N Liang, X Xiao, AK Sangaiah… - IEEE …, 2017 - ieeexplore.ieee.org
Location-Based Social Networks (LBSNs) have recently gained increasing popularity.
Timeaware Point-of-Interest (POI) recommendation is one of the most important location …
Timeaware Point-of-Interest (POI) recommendation is one of the most important location …
Service selection based on dynamic QoS networks
Due to the popularity of web services, similar services yet with different service-level
characteristics are commonly available. How to consume these services intelligently has …
characteristics are commonly available. How to consume these services intelligently has …
Interrelationships of Service Orchestrations
Despite topic models have been successfully used to reveal hidden orchestration patterns
from service logs, the potential uses of their interrelationships have yet to be explored. In …
from service logs, the potential uses of their interrelationships have yet to be explored. In …
Hybrid intelligence for data mining
WY Chu - 2016 - unsworks.unsw.edu.au
Today, enormous amount of data are being recorded in all kinds of activities. This sheer size
provides an excellent opportunity for data scientists to retrieve valuable information using …
provides an excellent opportunity for data scientists to retrieve valuable information using …