QoS-Aware web services recommendations using dynamic clustering algorithms

PB Pandharbale, SN Mohanty… - International Journal of …, 2022 - igi-global.com
Abstract Service-oriented computing (SOC) activates communication through web services
to provide computing as a service for business applications in the service-oriented …

Deep auto‐encoder based clustering algorithm for graph‐based web page recommendation system

JK Alagappan, SP Victor - Concurrency and Computation …, 2023 - Wiley Online Library
Web‐page recommendation system (RS) plays a major role in smart web systems. The core
technology is the RS, which helps users find their interests or discover item preferences …

MicroRec: Leveraging Large Language Models for Microservice Recommendation

AS Alsayed, HK Dam, C Nguyen - 2024 IEEE/ACM 21st …, 2024 - ieeexplore.ieee.org
The increasing adoption of microservices in software development requires effective
recommendation systems that guide developers to relevant microservices. In this paper, we …

Novel clustering-based web service recommendation framework

PB Pandharbale, SN Mohanty… - International Journal of …, 2021 - igi-global.com
Normally web services are classified originate in on the quality of service, wherever the term
quality is not absolute and it is a relative term. The quality of web services is measured or …

A multi-stack denoising autoencoder for qos prediction

M Wu, Q Lu, Y Wang - International Conference on Artificial Neural …, 2022 - Springer
In the era of network information overload, personalized service recommendation is paid
more and more attention by researchers, and Quality of Service (QoS) is a key criterion for …

[PDF][PDF] Web Benefit Utilizations with K-means Clustering Approach for Efficient Clustering.

PB Pandharbale, S Choudhury, SN Mohanty… - ACI@ ISIC, 2022 - ceur-ws.org
Clustering is the process of identifying similar groups in a dataset based on some
characteristics of the data. This work uses the k-means clustering algorithm for finding the …