imrchen's profile

Recent Activity

• 11:12: posted Content-Based Recommendation Systems
• 10:31: posted From hits to niches? or how popular artists can bias music recommendation and discovery
• 10:21: posted Improving new user recommendations with rule-based induction on cold user data
• 10:19: posted Trust-aware recommender systems
• 10:14: posted A new approach to evaluating novel recommendations
• 10:05: posted What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective
• 09:43: posted Ensemble Methods in Machine Learning
• 09:39: posted Similarity .vs. Diversity
• 09:33: posted Nearest Neighbours in High-Dimensional Data: The Emergence and Influence of Hubs
• 09:24: posted Learning to Recommend With Social Trust Ensemble
• 09:24: posted Temporal Collaborative Filtering With Adaptive Neighbourhoods
• 09:23: posted Evaluating Collaborative Filtering Over Time
• 09:22: posted The Role of Trust in Collaborative Filtering
• 09:21: posted Collaborative Filtering With Adaptive Information Sources
• 09:20: posted Rate it Again: Increasing Recommendation Accuracy by User Re-Rating
• 08:58: posted {Mining partially periodic event patterns with unknown periods}
• 08:30: posted Efficiently mining interesting emerging patterns
• 08:30: added a note to Efficiently mining interesting emerging patterns
• 07:55: posted I Like It...I Like it Not: Evaluating User Ratings Noise in Recommender Systems
• 06:33: posted {Future trends in data mining}
• 05:30: posted The wisdom of the few: a collaborative filtering approach based on expert opinions from the web
• 05:28: posted Data Mining Methods for Recommender Systems
• 03:28: posted Memento: Time Travel for the Web

• 02:29: posted Evaluation of Item-Based Top-N Recommendation Algorithms