research
∙
09/07/2023
VideolandGPT: A User Study on a Conversational Recommender System
This paper investigates how large language models (LLMs) can enhance rec...
share
research
∙
06/15/2023
RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation
In this paper we propose RecFusion, which comprise a set of diffusion mo...
research
∙
09/17/2022
RADio – Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations
In traditional recommender system literature, diversity is often seen as...
research
∙
08/24/2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification
Multiclass multilabel classification refers to the task of attributing m...
research
∙
12/18/2020
Recommenders with a mission: assessing diversity in newsrecommendations
News recommenders help users to find relevant online content and have th...
research
∙
05/14/2018
Faithfully Explaining Rankings in a News Recommender System
There is an increasing demand for algorithms to explain their outcomes. ...
research
∙
01/15/2017