API recommendation for mashup creation: A comprehensive survey

H Alhosaini, S Alharbi, X Wang, G Xu - The Computer Journal, 2024 - academic.oup.com
Mashups are web applications that expedite software development by reusing existing
resources through integrating multiple application programming interfaces (APIs) …

Dysr: A dynamic graph neural network based service bundle recommendation model for mashup creation

M Liu, Z Tu, H Xu, X Xu, Z Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
An increasing number and diversity of services are available, which results in significant
challenges to effectively reuse service during mashup creation. Many works have modeled …

Landslide susceptibility mapping and management in Western Serbia: an analysis of ANFIS-and SVM-based hybrid models

I Elkhrachy, R Ranjan Yadav… - Frontiers in …, 2023 - frontiersin.org
Landslide susceptibility mapping (LSM) is essential for land-use planning, as it helps to
identify areas at risk of landslides and enables effective prevention measures to be taken …

A social image recommendation system based on deep reinforcement learning

S Ahmadkhani, ME Moghaddam - Plos one, 2024 - journals.plos.org
Today, due to the expansion of the Internet and social networks, people are faced with a vast
amount of dynamic information. To mitigate the issue of information overload, recommender …

Web API Recommendation via Leveraging Content and Network Semantics

G Kang, B Liang, J Liu, Y Wen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the wide adoption of SOA (Service Oriented Architecture) in software engineering, a
large number of Web services have emerged to meet the Mashup development …

RLISR: A Deep Reinforcement Learning based Interactive Service Recommendation Model

M Zhang, Y Qu, Y Li, X Wen, Y Zhou - IEEE Access, 2024 - ieeexplore.ieee.org
An increasing number of services are being offered online, which leads to great difficulties in
selecting appropriate services during mashup development. There have been many service …

A cloud API personalized recommendation method based on multiple attribute features and mashup requirement attention

L Shen, Y Wang, C Li, Z Chen - IEEE Access, 2024 - ieeexplore.ieee.org
In current mashup-oriented cloud API recommendation systems, insufficient attention to
personalized development requirements remains a common issue, particularly regarding …

A Practical Cloud API Complementary Recommendation Service for Mashup Creation

X Liu, W Chen, M Sun, Y Si… - 2024 27th International …, 2024 - ieeexplore.ieee.org
With the popularity of the service-oriented development paradigm in the cloud era,
numerous cloud APIs have been developed. The continuous proliferation of cloud APIs has …

Research on the application of bilateral collaborative algorithm in hotel tourism consumption preference recommendation

Q Wang - Concurrency and Computation: Practice and …, 2024 - Wiley Online Library
The continuous expansion of the domestic tourism market has driven the development of the
hotel related industry. It is a key focus of the hotel industry to provide accurate supporting …

Recommendations in Crowdsourcing Web Applications

H Alhosaini - 2024 - search.proquest.com
T his thesis navigates the evolving landscape of crowdsourcing web applications, focusing
on optimizing the selection, integration, and aggregation processes essential for enhancing …