AdPSO: adaptive PSO-based task scheduling approach for cloud computing
Cloud computing has emerged as the most favorable computing platform for researchers
and industry. The load balanced task scheduling has emerged as an important and …
and industry. The load balanced task scheduling has emerged as an important and …
A novel time-aware food recommender-system based on deep learning and graph clustering
Food recommender-systems are considered an effective tool to help users adjust their
eating habits and achieve a healthier diet. This paper aims to develop a new hybrid food …
eating habits and achieve a healthier diet. This paper aims to develop a new hybrid food …
Understanding shilling attacks and their detection traits: A comprehensive survey
The internet is the home for huge volumes of useful data that is constantly being created
making it difficult for users to find information relevant to them. Recommendation System is a …
making it difficult for users to find information relevant to them. Recommendation System is a …
Fog-assisted personalized healthcare-support system for remote patients with diabetes
Diabetes is featured by the high prevalence and low control resulting in high premature
mortality rate. Maintaining the blood glucose level can bring considerable medical benefits …
mortality rate. Maintaining the blood glucose level can bring considerable medical benefits …
Fog computing-based intelligent healthcare system for the detection and prevention of mosquito-borne diseases
In recent years, fog computing emerges as a proactive solution for healthcare service as it
facilitates continuous monitoring of remote patient health and early detection of mosquito …
facilitates continuous monitoring of remote patient health and early detection of mosquito …
Toward improving the prediction accuracy of product recommendation system using extreme gradient boosting and encoding approaches
With the spread of COVID-19, the “untact” culture in South Korea is expanding and
customers are increasingly seeking for online services. A recommendation system serves as …
customers are increasingly seeking for online services. A recommendation system serves as …
A two-stage embedding model for recommendation with multimodal auxiliary information
J Ni, Z Huang, Y Hu, C Lin - Information Sciences, 2022 - Elsevier
Recommender system has recently received a lot of attention in the information service
community. In many application scenarios, such as Internet of Things (IoTs) environments …
community. In many application scenarios, such as Internet of Things (IoTs) environments …
Course recommendations in online education based on collaborative filtering recommendation algorithm
J Li, Z Ye - Complexity, 2020 - Wiley Online Library
In this paper, a personalized online education platform based on a collaborative filtering
algorithm is designed by applying the recommendation algorithm in the recommendation …
algorithm is designed by applying the recommendation algorithm in the recommendation …
A survey on recommendation systems for financial services
Recently, there is difficulty in extracting useful information from huge online information due
to the rapid growth of the internet. Therefore, the Recommendation system (RS) is needed …
to the rapid growth of the internet. Therefore, the Recommendation system (RS) is needed …
Hybrid location-based recommender system for mobility and travel planning
In recent times, the modern developments of internet technologies and social networks have
attracted global researchers to explore the recommender systems for generating …
attracted global researchers to explore the recommender systems for generating …