Deep learning in news recommender systems: A comprehensive survey, challenges and future trends
Nowadays, people prefer to read news articles from online sources worldwide due to their
easiness and availability. For the last few years, online searching for required information or …
easiness and availability. For the last few years, online searching for required information or …
[PDF][PDF] Approaches, issues and challenges in recommender systems: a systematic review
Objectives: Today the recommendation technology has managed to achieve a distinct place
in the modern and fascinating world of e-commerce applications as it helps the user in …
in the modern and fascinating world of e-commerce applications as it helps the user in …
[HTML][HTML] Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems
Digital twin is one promising and key technology that emerged with Industry 4.0 to assist the
decision-making process in multiple industries, enabling potential benefits such as reducing …
decision-making process in multiple industries, enabling potential benefits such as reducing …
Application of k-means clustering algorithm to improve effectiveness of the results recommended by journal recommender system
This study investigates to evaluate feasibility of k-means clustering algorithm in order to
improve effectiveness of the results recommended by RICEST Journal Finder System. More …
improve effectiveness of the results recommended by RICEST Journal Finder System. More …
Big data in fashion industry
Significant work has been done in the field of big data in last decade. The concept of big
data includes analysing voluminous data to extract valuable information. In the fashion …
data includes analysing voluminous data to extract valuable information. In the fashion …
[PDF][PDF] Implementation of a Machine Learning-Based MOOC Recommender System Using Learner Motivation Prediction.
The phenomenon of high dropout rates has been the concern of MOOC providers and
educators since the emergence of this disruptive technology in online learning. This led to …
educators since the emergence of this disruptive technology in online learning. This led to …
A review on recommendation systems: context-aware to social-based
SM Seyednezhad, KN Cozart, JA Bowllan… - arXiv preprint arXiv …, 2018 - arxiv.org
The number of Internet users had grown rapidly enticing companies and cooperations to
make full use of recommendation infrastructures. Consequently, online advertisement …
make full use of recommendation infrastructures. Consequently, online advertisement …
Recommendation system using reinforcement learning for what-if simulation in digital twin
The research about the digital twin concept is growing worldwide, especially in the industrial
sector, due to the increasing digitisation level associated to Industry 4.0. The application of …
sector, due to the increasing digitisation level associated to Industry 4.0. The application of …
RecIoT: A Deep Insight into IoT‐Based Smart Recommender Systems
Typically, Internet of Things (IoT) is perceived as the technology for connecting people,
devices, vehicles, home appliances, etc., and 212 billion heterogenous devices are …
devices, vehicles, home appliances, etc., and 212 billion heterogenous devices are …
[PDF][PDF] User-Review Oriented Social Recommender System for Event Planning.
Recommender system is used to suggest product or topic based on user's interest. Existing
recommender system have focused on books, product, music etc. The problem in existing …
recommender system have focused on books, product, music etc. The problem in existing …