Enhancing context-aware recommendation using trust-based contextual attentive autoencoder

S Abinaya, AS Alphonse, S Abirami… - Neural Processing …, 2023 - Springer
Context-aware recommender systems are intended primarily to consider the circumstances
under which a user encounters an item to provide better-personalized recommendations …

Deep Learning-Based Recommendation System: Systematic Review and Classification

C Li, I Ishak, H Ibrahim, M Zolkepli, F Sidi, C Li - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …

[HTML][HTML] Time cluster personalized ranking recommender system in multi-cloud

S Abinaya, K Indira, S Karthiga, T Rajasenbagam - Mathematics, 2023 - mdpi.com
Recommender systems have become a vital tool to identify items for users based on
personalized preferences. The personalized ranking or item recommendation generates a …

Enhancement in Context-Aware Recommender Systems–A Systematic Review

S Abinaya, R Ramya - 2024 Second International Conference …, 2024 - ieeexplore.ieee.org
A Recommendation System is a crucial Machine Learning algorithm that provides
suggestions for various applications and uses computer algorithms or software to analyse …

Enhancing Context-Aware Hybrid Collaborative Filtering Using DBSCAN Clustering Approach

S Abinaya, A Sharma - … Conference on MAchine inTelligence for Research …, 2023 - Springer
With the increasing availability of travel-related data and the rising demand for personalized
travel recommendations, context-aware recommender systems (CARS) are crucial for …

Collaborative recommendation for user spatial activities in mobile environments

Y Zhang, F Zhang - Fourth International Conference on …, 2024 - spiedigitallibrary.org
Recommendation technologies are facing new challenges in mobile environments due to
the complexity of user behaviors in dynamic contexts. In this paper, we focus on the …