Joint content caching and recommendation in opportunistic mobile networks through deep reinforcement learning and broad learning
Edge caching has been a research hotspot of the Mobile Edge Computing (MEC) in recent
years, which is an effective way to ease the burden of traffic in cellular networks. It places …
years, which is an effective way to ease the burden of traffic in cellular networks. It places …
SPCM: A Machine Learning Approach for Sentiment-Based Stock Recommendation System
J Wang, Z Chen - IEEE Access, 2024 - ieeexplore.ieee.org
Recommendation systems play a pivotal role in delivering user preference information.
However, they often face the challenge of information cocoons due to repeated content …
However, they often face the challenge of information cocoons due to repeated content …
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 …
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 …
technology is the RS, which helps users find their interests or discover item preferences …
[PDF][PDF] Web Benefit Utilizations with K-means Clustering Approach for Efficient Clustering.
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 …
characteristics of the data. This work uses the k-means clustering algorithm for finding the …