Time-aware cloud service recommendation using similarity-enhanced collaborative filtering and ARIMA model

S Ding, Y Li, D Wu, Y Zhang, S Yang - Decision Support Systems, 2018 - Elsevier
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 …

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 …

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 …

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 …

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 …

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 …

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 …

Service selection based on dynamic QoS networks

VW Chu, RK Wong, F Chen… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
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 …

Interrelationships of Service Orchestrations

VW Chu, RK Wong, F Chen, CH Chi - Advanced Data Mining and …, 2016 - Springer
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 …

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 …