Smooth neighborhood recommender systems

Keyphrases

• Recommendation System 100%
• User-item 100%
• Item-specific 66%
• Recommender 66%
• Prediction Accuracy 33%
• User Preference 33%
• Benchmark Dataset 33%
• Scalable Computation 33%
• Collaborative Filtering 33%
• Latent Factor Model 33%
• Personalized Prediction 33%
• Divide-and-conquer 33%
• Asymptotic Results 33%
• Neighborhood Information 33%
• Continuous Covariate 33%
• Alternating Least Squares Algorithm 33%
• Sparse Observation 33%
• User Social Network 33%
• Similarity Kernel 33%
• Content-based Filtering 33%
• User-item Interaction 33%
• Music Database 33%
• Major Challenges 33%
• Discrete Covariate 33%
• Item-specific Information 33%
• Cold Start Issues 33%

Computer Science

• Recommender Systems 100%
• Least Squares Methods 50%
• User Preference 50%
• Prediction Accuracy 50%
• Information Grouping 50%
• Asymptotic Result 50%
• Social Network 50%
• Collaboration 50%