Cross Domain Recommendation Systems using Deep Learning: A Systematic Literature Review

AK Gahier, SK Gujral - Proceedings of the International Conference …, 2021 - papers.ssrn.com
Recommender Systems play an inevitable role nowadays as in every field, there are
plethora of choices to consider. With the advent of more and more Artificial Intelligence and …

Popularity bias in online dating platforms: Theory and empirical evidence

ME Celdir, SH Cho, EH Hwang - Manufacturing & Service …, 2024 - pubsonline.informs.org
Problem definition: Generating recommendations of compatible dating partners is a
challenging task for online dating platforms because uncovering users' idiosyncratic …

Expressive latent feature modelling for explainable matrix factorisation-based recommender systems

A Alhejaili, S Fatima - ACM Transactions on Interactive Intelligent …, 2022 - dl.acm.org
The traditional matrix factorisation (MF)-based recommender system methods, despite their
success in making the recommendation, lack explainable recommendations as the …

Transforming Data with Ontology and Word Embedding for an Efficient Classification Framework

TTS Nguyen, PMT Do, TT Nguyen… - … on Industrial Networks …, 2023 - publications.eai.eu
Transforming data into appropriate formats is crucial because it can speed up the training
process and enhance the performance of classification algorithms. It is, however …