Clustering Users by exploiting Activity Tracks in Recommender Systems for SME

Keyphrases

• SMEs 100%
• Recommender Systems 100%
• Clustering Users 100%
• K-means 100%
• Clustering Strategy 100%
• Electronic Commerce 50%
• User Interaction 50%
• Limited Amount of Data 50%
• E-commerce Services 50%
• Personalized Recommendation 50%
• User Categories 50%
• User-item 50%
• Frobenius Norm 50%
• Category of Interest 50%

Computer Science

• Good Performance 100%
• Recommender Systems 100%
• User Interaction 100%
• Commerce Service 100%
• Essential Feature 100%