Bias assessment approaches for addressing user-centered fairness in GNN-based recommender systems

N Chizari, K Tajfar, MN Moreno-García - Information, 2023 - mdpi.com
In today's technology-driven society, many decisions are made based on the results
provided by machine learning algorithms. It is widely known that the models generated by …

Report on The Search Futures Workshop at ECIR 2024

L Azzopardi, CLA Clarke, P Kantor, B Mitra… - ACM SIGIR Forum, 2024 - dl.acm.org
The First Search Futures Workshop, in conjunction with the Fourty-sixth European
Conference on Information Retrieval (ECIR) 2024, looked into the future of search to ask …

Search and Society: Reimagining Information Access for Radical Futures

B Mitra - arXiv preprint arXiv:2403.17901, 2024 - arxiv.org
Information retrieval (IR) technologies and research are undergoing transformative changes.
It is our perspective that the community should accept this opportunity to re-center our …

[PDF][PDF] Quantifying Fairness Disparities in Graph-Based Neural Network Recommender Systems for Protected Groups.

N Chizari, K Tajfar, N Shoeibi, MNM García - WEBIST, 2023 - researchgate.net
The wide acceptance of Recommender Systems (RS) among users for product and service
suggestions has led to the proposal of multiple recommendation methods that have …

Original Research Article E-Learning influences on student learning satisfaction levels in terms of learner's personalization

MRM Veeramanickam, C Rodriguez… - Journal of …, 2024 - jai.front-sci.com
This study examines student sentiment about their online classroom communities in terms of
learner's satisfaction when they are a combination of asynchronous and synchronous …

Bursting the Filter Bubble: Examining Users Awareness During Online Data Consumption

עביר ח'ור - 2024‎ - search.proquest.com
As the global usage of the Internet continues to expand, so does the consumption of biased
and personalized information, leading to the confinement of online users within their own" …

[PDF][PDF] Exploring the Efficiency of Hybrid Recommender Systems Implemented with TensorFlow Framework

TA Lone, A Kumar, MR Bhat - researchgate.net
In recent years, the field of recommendation systems has seen significant advancement with
the introduction of hybrid approaches. These systems combine the strengths of multiple …