Edge-cloud-enabled matrix factorization for diversified APIs recommendation in mashup creation

F Wang, L Wang, G Li, Y Wang, C Lv, L Qi - World Wide Web, 2022 - Springer
A growing number of web APIs published on the Internet allows mashup developers to
discover appropriate web APIs for polishing mashups. Developers often have to manually …

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 …

Web service API recommendation for automated mashup creation using multi-objective evolutionary search

N Almarimi, A Ouni, S Bouktif, MW Mkaouer… - Applied Soft …, 2019 - Elsevier
Modern software development builds on external Web services reuse as a promising way
that allows developers delivering feature-rich software by composing existing Web service …

DLTSR: A deep learning framework for recommendations of long-tail web services

B Bai, Y Fan, W Tan, J Zhang - IEEE Transactions on Services …, 2017 - ieeexplore.ieee.org
With the growing popularity of web services, more and more developers are composing
multiple services into mashups. Developers show an increasing interest in non-popular …

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) …

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 ** service-
based systems (such as mashups) has become increasingly popular in recent years. Faced …

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 …

Regularizing matrix factorization with implicit user preference embeddings for web API recommendation

K Fletcher - 2019 IEEE international conference on services …, 2019 - ieeexplore.ieee.org
Mashups have emerged as a popular technique, which composes value-added web
services/APIs, to realize some complicated business needs. The rapid increase in the …