Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through Recommendations

7 August 2024

Papers citing "Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through Recommendations"

4 / 4 papers shown

Title
MUSS: Multilevel Subset Selection for Relevance and Diversity Vu Nguyen Andrey Kan 58 0 0 14 Mar 2025
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences Simone Mungari Erica Coppolillo Ettore Ritacco Francesco Fabbri Marco Minici Francesco Bonchi Giuseppe Manco 26 0 0 24 Sep 2024
Measuring Recommender System Effects with Simulated Users Sirui Yao Yoni Halpern Nithum Thain Xuezhi Wang Kang Lee Flavien Prost Ed H. Chi Jilin Chen Alex Beutel 48 49 0 12 Jan 2021
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 169 313 0 30 Oct 2017