2nd International Workshop on Industrial Recommendation Systems (IRS)

Keyphrases

• International Workshop 100%
• Recommendation System 100%
• Academic Research 50%
• Recommendation Algorithm 50%
• Production System 25%
• Computing Resources 25%
• Academic Researchers 25%
• Real Environment 25%
• Electronic Commerce 25%
• Social Networks 25%
• Academia-industry Collaboration 25%
• Model Robustness 25%
• Model Interpretability 25%
• Plethora 25%
• Limited Resources 25%
• Memory Resource 25%
• User Experience 25%
• Recommendation Quality 25%
• Metrics Definition 25%
• Multimedia Content 25%
• Engineering Personnel 25%
• Model Scalability 25%
• Industrial Researchers 25%
• Quality Control Data 25%
• Resource Budget 25%
• Quality Control Model 25%
• Scalability Model 25%
• Data Scalability 25%
• Ranking Accuracy 25%
• Model Fairness 25%
• Metric Evaluation 25%
• Business Metrics 25%
• Ranking Quality 25%
• Real Production 25%
• Content Platforms 25%
• Personalization Algorithms 25%

Computer Science

• Recommendation Algorithm 100%
• Research Paper 50%
• Computing Resource 50%
• User Experience 50%
• Memory Resource 50%
• Research Organization 50%
• Academic Researcher 50%
• Interpretability 50%
• Resource Limitation 50%
• Metric Definition 50%
• Production System 50%
• Multimedia Content 50%
• Social Network 50%