Deep learning and big data in healthcare: a double review for critical beginners

L Bote-Curiel, S Munoz-Romero, A Gerrero-Curieses… - Applied Sciences, 2019 - mdpi.com
In the last few years, there has been a growing expectation created about the analysis of
large amounts of data often available in organizations, which has been both scrutinized by …

An intelligent hybrid neural collaborative filtering approach for true recommendations

M Ibrahim, IS Bajwa, N Sarwar, F Hajjej… - IEEE Access, 2023 - ieeexplore.ieee.org
Recommendation services become a critical and hot research topic for researchers. A
recommendation agent that automatically suggests products to users according to their …

Aspect-based fashion recommendation with attention mechanism

W Li, B Xu - IEEE Access, 2020 - ieeexplore.ieee.org
With the rapid growth of fashion e-commerce, fashion recommendation has become a main
digital marketing tool that is built on customer reviews and ratings. Online review is a …

[PDF][PDF] Improved Hybrid Deep Collaborative Filtering Approach for True Recommendations.

M Ibrahim, IS Bajwa, N Sarwar… - … Materials & Continua, 2023 - cdn.techscience.cn
Recommendation services become an essential and hot research topic for researchers
nowadays. Social data such as Reviews play an important role in the recommendation of the …

A Survey on Intent-aware Recommender Systems

D Jannach, M Zanker - ACM Transactions on Recommender Systems, 2024 - dl.acm.org
Many modern online services feature personalized recommendations. A central challenge
when providing such recommendations is that the reason why an individual user accesses …

Developing smart city services using intent‐aware recommendation systems: A survey

W Rafique, AS Hafid, J Qadir - Transactions on Emerging …, 2023 - Wiley Online Library
Smart cities could be defined as urban areas that use Information and Communication
Technology (ICT) to solve city problems in efficient and sustainable ways. Intent‐aware …

[HTML][HTML] Location-aware green energy availability forecasting for multiple time frames in smart buildings: The case of Estonia

M Hatamian, B Panigrahi, CK Dehury - Measurement: Sensors, 2023 - Elsevier
In recent years, renewable energies (RE) have gained more attention as they provide clean
and sustainable energy. Affordable and clean energy is one of the sustainable development …

Attentive hybrid recurrent neural networks for sequential recommendation

L Zhang, P Wang, J Li, Z Xiao, H Shi - Neural Computing and Applications, 2021 - Springer
Recently, the sequential recommendation has become a hot spot. Previous works combined
user long-term and short-term behavior to achieve the next item recommendation, but the …

A study of different models for subreddit recommendation based on user-community interaction

A Janchevski, S Gievska - ICT Innovations 2019. Big Data Processing and …, 2019 - Springer
Reddit is a community-oriented social network, where users can pose questions, share their
own views and experiences within subreddit communities they have subscribed to, with the …

[PDF][PDF] Early anomaly detection by learning and forecasting behavior

T Zhao, B Ni, W Yu, M Jiang - arXiv preprint arXiv:2010.10016, 2020 - researchgate.net
Graph anomaly detection systems aim at identifying suspicious accounts or behaviors on
social networking sites and e-commercial platforms. Detecting anomalous users at an early …