Online recommendation in non-stationary environments based on knowledge graph enhancement and time-varying reward mechanism

Key Points

• User engagement increases with the application of time-varying reward mechanisms, enhancing recommendation quality.
• Knowledge graph enhancement facilitates better context understanding, leading to personalized recommendations.
• The algorithm adapts to non-stationary environments, improving its responsiveness to changing user preferences.
• Optimization techniques improve interaction by adapting in real-time to user behavior patterns.