Public Profile Matters: A Scalable Integrated Approach to Recommend Citations in the Wild
Public Profile Matters: A Scalable Integrated Approach to Recommend Citations in the Wild explores Profiler enhances citation recommendation systems by efficiently capturing human citation patterns without bias.. Commercial viability score: 7/10 in Citation Recommendation.
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 ThisAligning Large Language Model Behavior with Human Citation PreferencesViability: 4.0
- Builds On ThisRenoBench: A Citation Parsing BenchmarkViability: 5.0
- Builds On ThisWhere Do Your Citations Come From? Citation-Constellation: A Free, Open-Source, No-Code, and Auditable Tool for Citation Network Decomposition with Complementary BARON and HEROCON ScoresViability: 4.0
- Builds On ThisRich Insights from Cheap Signals: Efficient Evaluations via Tensor FactorizationViability: 2.0
- Builds On ThisPRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation