The Fault in Our Recommendations: On the Perils of Optimizing the Measurable
Fuente:
arXiv
Saved in:
| Main Authors: | Besbes, Omar, Kanoria, Yash, Kumar, Akshit |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Impact of Rankings and Personalized Recommendations in Marketplaces
by: Besbes, Omar, et al.
Published: (2025)
by: Besbes, Omar, et al.
Published: (2025)
What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce
by: Allouah, Amine, et al.
Published: (2025)
by: Allouah, Amine, et al.
Published: (2025)
Towards a Signal Detection Based Measure for Assessing Information Quality of Explainable Recommender Systems
by: Son, Yeonbin, et al.
Published: (2025)
by: Son, Yeonbin, et al.
Published: (2025)
Enhancing EmoBot: An In-Depth Analysis of User Satisfaction and Faults in an Emotion-Aware Chatbot
by: Mubassira, Taseen, et al.
Published: (2024)
by: Mubassira, Taseen, et al.
Published: (2024)
Impact of Tone-Aware Explanations in Recommender Systems
by: Okoso, Ayano, et al.
Published: (2024)
by: Okoso, Ayano, et al.
Published: (2024)
Filtering Discomforting Recommendations with Large Language Models
by: Liu, Jiahao, et al.
Published: (2024)
by: Liu, Jiahao, et al.
Published: (2024)
Post-Userist Recommender Systems : A Manifesto
by: Burke, Robin, et al.
Published: (2024)
by: Burke, Robin, et al.
Published: (2024)
On Explaining Recommendations with Large Language Models: A Review
by: Said, Alan
Published: (2024)
by: Said, Alan
Published: (2024)
INDIANA: Personalized Travel Recommendations Using Wearables and AI
by: Manos, Anastasios, et al.
Published: (2024)
by: Manos, Anastasios, et al.
Published: (2024)
Investigating Characteristics of Media Recommendation Solicitation in r/ifyoulikeblank
by: Bhuiyan, Md Momen, et al.
Published: (2024)
by: Bhuiyan, Md Momen, et al.
Published: (2024)
Beyond Centralization: User-Controlled Federated Recommendations in Practice
by: Slokom, Manel, et al.
Published: (2026)
by: Slokom, Manel, et al.
Published: (2026)
Improving Collaborative Filtering Recommendation via Graph Learning
by: Wang, Yongyu
Published: (2023)
by: Wang, Yongyu
Published: (2023)
A Literature Review on Simulation in Conversational Recommender Systems
by: Zhang, Haoran, et al.
Published: (2025)
by: Zhang, Haoran, et al.
Published: (2025)
Early Explorations of Recommender Systems for Physical Activity and Well-being
by: Said, Alan
Published: (2025)
by: Said, Alan
Published: (2025)
Tell Me the Good Stuff: User Preferences in Movie Recommendation Explanations
by: Ahmad, Juan, et al.
Published: (2025)
by: Ahmad, Juan, et al.
Published: (2025)
Know Your Users! Estimating User Domain Knowledge in Conversational Recommenders
by: Kostric, Ivica, et al.
Published: (2025)
by: Kostric, Ivica, et al.
Published: (2025)
Learning Outcomes, Assessment, and Evaluation in Educational Recommender Systems: A Systematic Review
by: Askarbekuly, Nursultan, et al.
Published: (2024)
by: Askarbekuly, Nursultan, et al.
Published: (2024)
Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations
by: Kaur, Kirandeep, et al.
Published: (2024)
by: Kaur, Kirandeep, et al.
Published: (2024)
Multi-TAP: Multi-criteria Target Adaptive Persona Modeling for Cross-Domain Recommendation
by: Kang, Daehee, et al.
Published: (2026)
by: Kang, Daehee, et al.
Published: (2026)
Riding the Carousel: The First Extensive Eye Tracking Analysis of Browsing Behavior in Carousel Recommenders
by: de Leon-Martinez, Santiago, et al.
Published: (2025)
by: de Leon-Martinez, Santiago, et al.
Published: (2025)
Echoes in the Loop: Diagnosing Risks in LLM-Powered Recommender Systems under Feedback Loops
by: Park, Donguk, et al.
Published: (2026)
by: Park, Donguk, et al.
Published: (2026)
Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems
by: Wang, Mengyan, et al.
Published: (2024)
by: Wang, Mengyan, et al.
Published: (2024)
Display Content, Display Methods and Evaluation Methods of the HCI in Explainable Recommender Systems: A Survey
by: Li, Weiqing, et al.
Published: (2025)
by: Li, Weiqing, et al.
Published: (2025)
Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems
by: Kostric, Ivica, et al.
Published: (2025)
by: Kostric, Ivica, et al.
Published: (2025)
Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care
by: Yilma, Bereket A., et al.
Published: (2024)
by: Yilma, Bereket A., 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)
Contextual Font Recommendations based on User Intent
by: Sharma, Sanat, et al.
Published: (2023)
by: Sharma, Sanat, et al.
Published: (2023)
FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness
by: Sah, Chandan Kumar, et al.
Published: (2025)
by: Sah, Chandan Kumar, et al.
Published: (2025)
What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders
by: Sun, Ruixuan, et al.
Published: (2024)
by: Sun, Ruixuan, et al.
Published: (2024)
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)
Interactive Recommendation Agent with Active User Commands
by: Tang, Jiakai, et al.
Published: (2025)
by: Tang, Jiakai, et al.
Published: (2025)
Decoupled Recommender Systems: Exploring Alternative Recommender Ecosystem Designs
by: Buhayh, Anas, et al.
Published: (2025)
by: Buhayh, Anas, et al.
Published: (2025)
Leveraging Recommender Systems to Reduce Content Gaps on Peer Production Platforms
by: Houtti, Mo, et al.
Published: (2023)
by: Houtti, Mo, et al.
Published: (2023)
Designing and Evaluating an Educational Recommender System with Different Levels of User Control
by: Ain, Qurat Ul, et al.
Published: (2025)
by: Ain, Qurat Ul, et al.
Published: (2025)
Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation
by: Wei, Tianjun, et al.
Published: (2025)
by: Wei, Tianjun, et al.
Published: (2025)
Toward Safe and Human-Aligned Game Conversational Recommendation via Multi-Agent Decomposition
by: Hui, Zheng, et al.
Published: (2025)
by: Hui, Zheng, et al.
Published: (2025)
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems
by: Ahn, Yongsu, et al.
Published: (2024)
by: Ahn, Yongsu, et al.
Published: (2024)
RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations
by: Rao, Jiarui, et al.
Published: (2024)
by: Rao, Jiarui, et al.
Published: (2024)
Visualization for Recommendation Explainability: A Survey and New Perspectives
by: Chatti, Mohamed Amine, et al.
Published: (2023)
by: Chatti, Mohamed Amine, et al.
Published: (2023)
LLM Confidence Evaluation Measures in Zero-Shot CSS Classification
by: Farr, David, et al.
Published: (2024)
by: Farr, David, et al.
Published: (2024)
Similar Items
-
Impact of Rankings and Personalized Recommendations in Marketplaces
by: Besbes, Omar, et al.
Published: (2025) -
What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce
by: Allouah, Amine, et al.
Published: (2025) -
Towards a Signal Detection Based Measure for Assessing Information Quality of Explainable Recommender Systems
by: Son, Yeonbin, et al.
Published: (2025) -
Enhancing EmoBot: An In-Depth Analysis of User Satisfaction and Faults in an Emotion-Aware Chatbot
by: Mubassira, Taseen, et al.
Published: (2024) -
Impact of Tone-Aware Explanations in Recommender Systems
by: Okoso, Ayano, et al.
Published: (2024)