Incorporating trust into context-aware services

B Shishkov, HG Fill, K Ivanova, M van Sinderen… - … Symposium on Business …, 2023 - Springer
Enabling technologies concerning hardware, networking, and sensing have inspired the
development of context-aware IT services. These adapt to the situation of the user, such that …

[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 …

[PDF][PDF] Enhancing Multicriteria-Based Recommendations by Alleviating Scalability and Sparsity Issues Using Collaborative Denoising Autoencoder.

S Abinaya, KU Kumar - Computers, Materials & Continua, 2024 - cdn.techscience.cn
ABSTRACT A Recommender System (RS) is a crucial part of several firms, particularly those
involved in e-commerce. In conventional RS, a user may only offer a single rating for an item …

Systematic Review on Machine Learning based Recommendation System

S Abinaya, K Sharma - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
Recommender systems are a technology that helps in choosing items that are relevant from
a large number of items. Incorporating recommender systems across these applications …

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 …

Deep Learning-Based Recommender Systems Research Progress: A Bibliometric Analysis

W Guo, Z Yang - … on Information Science and Education (ICISE …, 2023 - ieeexplore.ieee.org
Deep Learning-Based Recommender Systems (DLRS) represent a prominent research area
in the academic community. This paper aims to conduct a bibliometric and visualization …