Explaining Group Recommendations via Counterfactuals
Explaining Group Recommendations via Counterfactuals explores Develop a tool for transparent and fair group recommendations using counterfactual explanations.. Commercial viability score: 5/10 in Recommender Systems.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisOn the Definition and Detection of Cherry-Picking in Counterfactual ExplanationsViability: 3.0
- Builds On ThisProactive Guiding Strategy for Item-side Fairness in Interactive RecommendationViability: 3.0
- Builds On ThisVisual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender SystemViability: 4.0
- Prior WorkBeyond Factual Correctness: Mitigating Preference-Inconsistent Explanations in Explainable RecommendationViability: 5.0
- Prior Work