Awesome Recommender Systems
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Fernando Diaz — most-cited papers & profile · Recommender Systems
← authors
·
overview
Fernando Diaz
6
papers ·
5
citations ·
33
h-index
Mexican Social Security Institute · Universidad de Buenos Aires · Carnegie Mellon University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship
2023 · 2 citations
Multi-FR: A Multi-objective Optimization Framework for Multi-stakeholder Fairness-aware Recommendation
2021 · 1 citations
Joint Multisided Exposure Fairness for Recommendation
2022 · 1 citations
Retrieval Augmentation for T5 Re-ranker using External Sources
2022 · 1 citations
The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking
2023
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
2023
Top co-authors
Bhaskar Mitra
· 2
Chen Ma
· 2
Haolun Wu
· 2
Xue Liu
· 2
Ali Vardasbi
· 1
Andres Ferraro
· 1
Craig Boutilier
· 1
Don Metzler
· 1
Georgina Born
· 1
Gustavo Ferreira
· 1
Haolun Wu
· 1
Honglei Zhuang
· 1
Topics
Ranking & CTR
Fairness & Ethics
Collaborative Filtering
Two-Tower & Retrieval
LLM-based