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Alan Said

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Replication of Recommender Systems Research
byAlan Said
 
Comparative Recommender System Evaluation: Benchmarking Recommendation Frameworks
byAlan Said
 
The Magic Barrier of Recommender Systems - No Magic, Just Ratings
byAlan Said
 
A Top-N Recommender System Evaluation Protocol Inspired by Deployed Systems
byAlan Said
 
User-Centric Evaluation of a K-Furthest Neighbor Collaborative Filtering Recommender Algorithm
byAlan Said
 
State of RecSys: Recap of RecSys 2012
byAlan Said
 
RecSysChallenge Opening
byAlan Said
 
Best Practices in Recommender System Challenges
byAlan Said
 
Users and Noise: The Magic Barrier of Recommender Systems
byAlan Said
 
Analyzing Weighting Schemes in Collaborative Filtering: Cold Start, Post Cold Start and Power Users
byAlan Said
 
CaRR 2012 Opening Presentation
byAlan Said
 
Personalizing Tags: A Folksonomy-like Approach for Recommending Movies
byAlan Said
 
Inferring Contextual User Profiles - Improving Recommender Performance
byAlan Said
 
Using Social- and Pseudo-Social Networks to Improve Recommendation Quality
byAlan Said
 
Recommender Systems
byAlan Said