Modeling Scholarly Influence with Weighted Features for Enhanced Academic Social Network Recommendations

Key Points

• The aim is to improve recommendations within academic social networks by modeling scholarly influence.
• Developed a model utilizing weighted features to assess scholarly influence.
• Analyzed existing academic networks for performance evaluation.
• Applied machine learning techniques to enhance recommendation accuracy.
• Notable improvement in recommendation relevance based on scholarly influence.
• Increased user engagement and satisfaction within academic networks.