Enhancing global and local interests fusion based on Kolmogorov-Arnold networks for sequential recommendation

Key Points

• Improved interest fusion enhances sequential recommendation outcomes, leading to more relevant suggestions.
• The analysis identifies key performance metrics, showing a significant increase in recommendation accuracy.
• Implementation of kolmogorov-arnold networks enables more sophisticated processing of interests in recommendations.
• These findings highlight the need for innovative approaches in recommendation systems to meet user preferences.