Urban point-of-interest recommendation by mining user check-in behaviors

Keyphrases

• Challenging Issues 33%
• Check-in 100%
• Contextual Information 33%
• Environmental Information 33%
• Excellent Performance 33%
• Gowalla 33%
• Heterogeneous Data 33%
• Individual Preferences 66%
• Interestingness 33%
• Living Area 33%
• Location-based Social Networks 100%
• Model Building 33%
• Point-of-interest Recommendation 100%
• Recommendation Method 33%
• Regression Tree 33%
• Restaurants 33%
• Social Base 33%
• Social Factors 66%
• Social Information 100%
• Tree-based 33%
• Urban Areas 33%
• User Location 33%
• User Preference 66%

Computer Science

• Environmental Information 14%
• Heterogeneous Data 14%
• Points of Interest 100%
• Regression Tree 14%
• Social Information 14%
• Social Network 14%
• Social Network Data 28%
• User Preference 28%