Automatically Learning User Preferences for Personalized Service Composition

Keyphrases

• Web Services 100%
• Service Composition 100%
• Personalized Service 100%
• User Preference 100%
• Historical Data 66%
• Machine Learning Approach 33%
• Rapid Growth 33%
• User Groups 33%
• Reinforcement Learning Algorithm 33%
• Daily Activities 33%
• Online Shopping 33%
• Learning to Rank Algorithms 33%
• User Interest 33%
• Personal Preferences 33%
• Automated Service Composition 33%
• Web Services Technology 33%
• Technology Users 33%
• RankBoost 33%
• Efficient Recommendation 33%
• Multi-objective Reinforcement Learning 33%
• Cognitive Burden 33%

Computer Science

• Web Service 100%
• Service Composition 100%
• personalized service 100%
• User Preference 100%
• Historical Data 66%
• Individual User 33%
• Reinforcement Learning 33%
• Massive Amount 33%
• Multiobjective 33%
• Daily Activity 33%
• Baseline Approach 33%
• Rank Algorithm 33%
• Shopping Online 33%
• Personal Preference 33%
• Web Service Technology 33%
• Technology User 33%
• Machine Learning Approach 33%