Multistakeholder Impacts of Profile Portability in a Recommender Ecosystem
Fuente:
arXiv
Saved in:
| Main Authors: | Buhayh, Anas, McKinnie, Elizabeth, Canel, Clement, Burke, Robin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Decoupled Recommender Systems: Exploring Alternative Recommender Ecosystem Designs
by: Buhayh, Anas, et al.
Published: (2025)
by: Buhayh, Anas, et al.
Published: (2025)
Fairness for niche users and providers: algorithmic choice and profile portability
by: McKinnie, Elizabeth, et al.
Published: (2025)
by: McKinnie, Elizabeth, et al.
Published: (2025)
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
by: Burke, Robin, et al.
Published: (2025)
by: Burke, Robin, et al.
Published: (2025)
MOSAIC: Multimodal Multistakeholder-aware Visual Art Recommendation
by: Yilma, Bereket A., et al.
Published: (2024)
by: Yilma, Bereket A., et al.
Published: (2024)
Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
by: Forster, Andrea, et al.
Published: (2026)
by: Forster, Andrea, et al.
Published: (2026)
Post-Userist Recommender Systems : A Manifesto
by: Burke, Robin, et al.
Published: (2024)
by: Burke, Robin, et al.
Published: (2024)
A Multistakeholder Approach to Value-Driven Co-Design of Recommender System Evaluation Metrics in Digital Archives
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2025)
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2025)
Value Identification in Multistakeholder Recommender Systems for Humanities and Historical Research: The Case of the Digital Archive Monasterium.net
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2024)
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2024)
Multistakeholder Fairness in Tourism: What can Algorithms learn from Tourism Management?
by: Muellner, Peter, et al.
Published: (2025)
by: Muellner, Peter, et al.
Published: (2025)
The Importance of Cognitive Biases in the Recommendation Ecosystem
by: Schedl, Markus, et al.
Published: (2024)
by: Schedl, Markus, et al.
Published: (2024)
Envy-Free but Still Unfair: Envy-Freeness Up To One Item (EF-1) in Personalized Recommendation
by: Aird, Amanda, et al.
Published: (2025)
by: Aird, Amanda, et al.
Published: (2025)
Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study
by: Ungruh, Robin, et al.
Published: (2025)
by: Ungruh, Robin, et al.
Published: (2025)
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
by: Zhang, Zeyuan, et al.
Published: (2024)
by: Zhang, Zeyuan, et al.
Published: (2024)
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF
by: Aird, Amanda, et al.
Published: (2023)
by: Aird, Amanda, et al.
Published: (2023)
Ah, that's the great puzzle: On the Quest of a Holistic Understanding of the Harms of Recommender Systems on Children
by: Ungruh, Robin, et al.
Published: (2024)
by: Ungruh, Robin, et al.
Published: (2024)
The Hidden Cost of Defaults in Recommender System Evaluation
by: Berling, Hannah, et al.
Published: (2025)
by: Berling, Hannah, et al.
Published: (2025)
Recommendations by Concise User Profiles from Review Text
by: Torbati, Ghazaleh Haratinezhad, et al.
Published: (2023)
by: Torbati, Ghazaleh Haratinezhad, et al.
Published: (2023)
Biases in LLM-Generated Musical Taste Profiles for Recommendation
by: Sguerra, Bruno, et al.
Published: (2025)
by: Sguerra, Bruno, et al.
Published: (2025)
What News Recommendation Research Did (But Mostly Didn't) Teach Us About Building A News Recommender
by: Higley, Karl, et al.
Published: (2025)
by: Higley, Karl, et al.
Published: (2025)
DUET: Joint Exploration of User Item Profiles in Recommendation System
by: Chen, Yue, et al.
Published: (2026)
by: Chen, Yue, et al.
Published: (2026)
Multi-Scenario User Profile Construction via Recommendation Lists
by: Zhang, Hui, et al.
Published: (2026)
by: Zhang, Hui, et al.
Published: (2026)
Transparent and Scrutable Recommendations Using Natural Language User Profiles
by: Ramos, Jerome, et al.
Published: (2024)
by: Ramos, Jerome, et al.
Published: (2024)
Post-Training Denoising of User Profiles with LLMs in Collaborative Filtering Recommendation
by: Dervishaj, Ervin, et al.
Published: (2026)
by: Dervishaj, Ervin, et al.
Published: (2026)
Precision Profile Pollution Attack on Sequential Recommenders via Influence Function
by: Du, Xiaoyu, et al.
Published: (2024)
by: Du, Xiaoyu, et al.
Published: (2024)
Social Choice for Heterogeneous Fairness in Recommendation
by: Aird, Amanda, et al.
Published: (2024)
by: Aird, Amanda, et al.
Published: (2024)
Recommending With, Not For: Co-Designing Recommender Systems for Social Good
by: Ekstrand, Michael D., et al.
Published: (2025)
by: Ekstrand, Michael D., et al.
Published: (2025)
From Hidden Profiles to Governable Personalization: Recommender Systems in the Age of LLM Agents
by: Liu, Jiahao, et al.
Published: (2026)
by: Liu, Jiahao, et al.
Published: (2026)
SciNUP: Natural Language User Interest Profiles for Scientific Literature Recommendation
by: Arustashvili, Mariam, et al.
Published: (2025)
by: Arustashvili, Mariam, et al.
Published: (2025)
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems
by: Zhang, Yi, et al.
Published: (2026)
by: Zhang, Yi, et al.
Published: (2026)
Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
by: Liu, Hongyang, et al.
Published: (2025)
by: Liu, Hongyang, et al.
Published: (2025)
GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems
by: Wongso, Wilson, et al.
Published: (2024)
by: Wongso, Wilson, et al.
Published: (2024)
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
by: Müllner, Peter, et al.
Published: (2024)
by: Müllner, Peter, et al.
Published: (2024)
Data Generation via Latent Factor Simulation for Fairness-aware Re-ranking
by: Stefancova, Elena, et al.
Published: (2024)
by: Stefancova, Elena, et al.
Published: (2024)
Effectiveness of LLMs in Temporal User Profiling for Recommendation
by: Sabouri, Milad, et al.
Published: (2025)
by: Sabouri, Milad, et al.
Published: (2025)
Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models
by: Wanyan, Xinye, et al.
Published: (2026)
by: Wanyan, Xinye, et al.
Published: (2026)
ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
Multi-Behavior Generative Recommendation
by: Liu, Zihan, et al.
Published: (2024)
by: Liu, Zihan, et al.
Published: (2024)
Evaluating Impact of User-Cluster Targeted Attacks in Matrix Factorisation Recommenders
by: Shams, Sulthana, et al.
Published: (2023)
by: Shams, Sulthana, et al.
Published: (2023)
Enhancing Recommender Systems: A Strategy to Mitigate False Negative Impact
by: Shi, Kexin, et al.
Published: (2022)
by: Shi, Kexin, et al.
Published: (2022)
On the Impact of Graph Neural Networks in Recommender Systems: A Topological Perspective
by: Malitesta, Daniele, et al.
Published: (2025)
by: Malitesta, Daniele, et al.
Published: (2025)
Similar Items
-
Decoupled Recommender Systems: Exploring Alternative Recommender Ecosystem Designs
by: Buhayh, Anas, et al.
Published: (2025) -
Fairness for niche users and providers: algorithmic choice and profile portability
by: McKinnie, Elizabeth, et al.
Published: (2025) -
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
by: Burke, Robin, et al.
Published: (2025) -
MOSAIC: Multimodal Multistakeholder-aware Visual Art Recommendation
by: Yilma, Bereket A., et al.
Published: (2024) -
Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
by: Forster, Andrea, et al.
Published: (2026)