Collaborative learning-based industrial IoT API recommendation for software-defined devices: the implicit knowledge discovery perspective

H Gao, X Qin, RJD Barroso, W Hussain… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

A survey on recommender systems for Internet of Things: techniques, applications and future directions

M Altulyan, L Yao, X Wang, C Huang… - The Computer …, 2022 - academic.oup.com
Recommendation is a critical tool for developing and promoting the benefits of the Internet of
Things (IoT). In recent years, recommender systems have attracted considerable attention in …

“Leagile” software development: An experience report analysis of the application of lean approaches in agile software development

X Wang, K Conboy, O Cawley - Journal of Systems and Software, 2012 - Elsevier
In recent years there has been a noticeable shift in attention from those who use agile
software development toward lean software development, often labelled as a shift “from …

Deep hybrid collaborative filtering for web service recommendation

R Xiong, J Wang, N Zhang, Y Ma - Expert systems with Applications, 2018 - Elsevier
With the rapid development of service-oriented computing and cloud computing, an
increasing number of Web services have been published on the Internet, which makes it …

Integrated content and network-based service clustering and web apis recommendation for mashup development

B Cao, XF Liu, MDM Rahman, B Li… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The rapid growth in the number and diversity of Web APIs, coupled with the myriad of
functionally similar Web APIs, makes it difficult to find most suitable Web APIs for users to …

QoS-aware service recommendation based on relational topic model and factorization machines for IoT Mashup applications

B Cao, J Liu, Y Wen, H Li, Q Xiao, J Chen - Journal of parallel and …, 2019 - Elsevier
IoT Mashup applications allow developer to compose existing Web APIs to create value-
added composite Web services. The rapid growth of large-scale and complex services …

Neural and attentional factorization machine-based Web API recommendation for mashup development

G Kang, J Liu, Y Xiao, B Cao, Y Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The wide adoption of Service Oriented Architecture (SOA) has driven the creation of a
massive amount of applications on the Internet, which includes the popular Mashups …

API recommendation for Mashup creation based on neural graph collaborative filtering

S Lian, M Tang - Connection science, 2022 - Taylor & Francis
With the increase of open APIs appeared on the Web, reusing or combining these APIs to
develop novel applications (eg Mashups) has attracted great interest from developers …

[HTML][HTML] Towards machine-learning-driven effective mashup recommendations from big data in mobile networks and the Internet-of-Things

Y Xu, Z Wang, H Gao, Z Jiang, Y Yin, R Li - Digital Communications and …, 2023 - Elsevier
A large number of Web APIs have been released as services in mobile communications, but
the service provided by a single Web API is usually limited. To enrich the services in mobile …

Recommender systems for the internet of things: a survey

M Altulyan, L Yao, X Wang, C Huang… - arXiv preprint arXiv …, 2020 - arxiv.org
Recommendation represents a vital stage in developing and promoting the benefits of the
Internet of Things (IoT). Traditional recommender systems fail to exploit ever-growing …