Finding experts in community-based question-answering services

Key Points

• This research explores methods for identifying experts in community-based question-answering services.
• Analyzed data from various question-answering platforms
• Developed algorithms to assess user contributions and expertise
• Evaluated effectiveness of expert identification techniques
• Identified key attributes that correlate with expertise in responses
• Demonstrated a 30% increase in user engagement when experts are highlighted
• Proposed a new framework for expert ranking based on community feedback