Forecasting user interests through topic tag predictions in online health communities

AS Adishesha, L Jakielaszek, F Azhar… - IEEE journal of …, 2023 - ieeexplore.ieee.org
The increasing reliance on online communities for healthcare information by patients and
caregivers has led to the increase in the spread of misinformation, or subjective, anecdotal …

Towards a News Recommendation System to increase Reader Engagement through Newsletter Content Personalization

E Fernandes, S Moro, P Cortez - Procedia Computer Science, 2024 - Elsevier
In the big data era, recommendation systems (RS) play a pivotal role to overcome
information overload. In the digital landscape publishers need to optimize their editorial …

A time-aware hybrid algorithm for online recommendation services

F Sun, H Zhuang, S Xu, Z Wang, K Zheng - Mobile Networks and …, 2022 - Springer
With the rapid development of cloud computing technology, online recommendation
services have been a new trend for providing specific information on topics such as lifestyle …

Content based news recommendation engine using hybrid bilstm-ann feature modelling

S Sridhar, S Sanagavarapu - … & Vision (ICIEV) and 2021 5th …, 2021 - ieeexplore.ieee.org
Recommendation systems are widespread with the big data hosted on the internet and the
users who actively access them. The recommendation model implemented here uses the …

The Utilization of DistilBERT Features Space for Topics Suggestion in the Context of Learning Content

K Jingga, H Hidayaturrahman - 2023 International Workshop on …, 2023 - ieeexplore.ieee.org
Recommender system is one of the popular topics in artificial intelligence fields as it can
widely be used in the industry. Movies service provider, e-commerce, e-learning, and many …