A Survey on Intent-aware Recommender Systems
Many modern online services feature personalized recommendations. A central challenge
when providing such recommendations is that the reason why an individual user accesses …
when providing such recommendations is that the reason why an individual user accesses …
What Are We Optimizing For? A Human-centric Evaluation Of Deep Learning-based Recommender Systems
Deep learning-based (DL) models in recommender systems (RecSys) have gained
significant recognition for their remarkable accuracy in predicting user preferences …
significant recognition for their remarkable accuracy in predicting user preferences …
Large language models as recommender systems: A study of popularity bias
JM Lichtenberg, A Buchholz, P Schwöbel - arXiv preprint arXiv …, 2024 - arxiv.org
The issue of popularity bias--where popular items are disproportionately recommended,
overshadowing less popular but potentially relevant items--remains a significant challenge …
overshadowing less popular but potentially relevant items--remains a significant challenge …