A survey of recommender systems based on deep learning

R Mu - Ieee Access, 2018 - ieeexplore.ieee.org
In recent years, deep learning's revolutionary advances in speech recognition, image
analysis, and natural language processing have gained significant attention. Deep learning …

Towards evolving software recommendation with time-sliced social and behavioral information

H Chen, Z Feng, S Chen, X Xue, H Wu, Y Sun, Y Xu… - Applied …, 2023 - Springer
Software recommendations play a crucial role in helping developers discover potential
functional requirements and improve development efficiencies. As new requirements …

A novel framework for an intelligent deep learning based product recommendation system using sentiment analysis (SA)

R Thomas, JR Jeba - Automatika, 2024 - Taylor & Francis
Social media and e-commerce are the two most prominent and quickly expanding industries
today. These two areas exhibit the greatest influence on platform users. Numerous new …

Sequential recommendations on github repository

JW Kim, JA Wi, YB Kim - Applied Sciences, 2021 - mdpi.com
The software development platform is an increasingly expanding industry. It is growing
steadily due to the active research and sharing of artificial intelligence and deep learning …

Ensemble deep neural network based quality of service prediction for cloud service recommendation

P Sahu, S Raghavan, K Chandrasekaran - Neurocomputing, 2021 - Elsevier
Abstract Applications of Cloud Services are increasing day by day, and so is the difficulty of
choosing the best-suited service for a customer. Quality of Service (QoS) parameters can be …

Recommending external developers to software projects based on historical analysis of previous contributions

M Oliveira Jr, R Braga, G Ghiotto, J David - Proceedings of the XXXIII …, 2019 - dl.acm.org
The software development industry has evolved in recent years and new challenges have
emerged. One of them is the difficulty in recruiting developers who are familiar with …

A study of incorporation of deep learning into software reliability modeling and assessment

CY Wu, CY Huang - IEEE Transactions on Reliability, 2021 - ieeexplore.ieee.org
Software is widely used in many application domains. The most popular software are used
by millions every day. How to accurately predict and assess the reliability of developed …

Use of deep learning in modern recommendation system: A summary of recent works

A Singhal, P Sinha, R Pant - arXiv preprint arXiv:1712.07525, 2017 - arxiv.org
With the exponential increase in the amount of digital information over the internet, online
shops, online music, video and image libraries, search engines and recommendation …

FunkR-pDAE: Personalized project recommendation using deep learning

P Zhang, F Xiong, H Leung… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In open source communities, developers always need to spend plenty of time and energy on
discovering specific projects from massive open source projects. Consequently, the study of …

ASTSDL: predicting the functionality of incomplete programming code via an AST-sequence-based deep learning model

Y Yu, Z Huang, G Shen, W Li, Y Shao - Science China Information …, 2024 - Springer
Code recommendation systems have been widely used in helping developers implement
unfamiliar programming tasks. Many existing code recommenders or code search engines …