An innovative citation recommendation model for draft papers with varying degrees of information completeness

Keyphrases

• Recommendation Model 100%
• Citation Recommendation 100%
• Information Completeness 100%
• WordNet 50%
• Design Methodology 25%
• Performance Improvement 25%
• Recommendation Method 25%
• Recommendation Accuracy 25%
• Term Frequency-inverse Document Frequency (TF-IDF) 25%
• Recommendation Algorithm 25%
• Weight Adjustment Strategy 25%
• Unsupervised Model 25%

Computer Science

• Research Paper 100%
• Varying Degree 100%
• Recommendation Accuracy 50%
• Recommendation Algorithm 50%
• Inverse Document Frequency 50%
• Incomplete Structure 50%