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Showing below up to 50 results in range #1 to #50.
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- Harry Potter effect (1 revision)
- Crowd-powered recommendation for continuous digital media access and exchange in social networks (1 revision)
- Yelp Business Rating Prediction (1 revision)
- Tf-idf (1 revision)
- Knewton (1 revision)
- KNN (1 revision)
- RecSys 2015 (1 revision)
- NVidia (1 revision)
- ASOS (1 revision)
- Till Plumbaum (1 revision)
- WebDemocracia (1 revision)
- RiVal (1 revision)
- Content-based filtering (1 revision)
- Open Recommendation Platform (1 revision)
- Joost de Wit (1 revision)
- ZDF (1 revision)
- Manipulation of recommender systems (1 revision)
- Research paper recommendation (1 revision)
- User Modeling and User-Adapted Interaction (1 revision)
- Supervised learning (1 revision)
- RecommenderAPI for Drupal (1 revision)
- Marko Tkalčič (1 revision)
- Regularization (1 revision)
- MovieLens 100k Details (1 revision)
- Hulu (2 revisions)
- Expectation-Maximization (2 revisions)
- LinkedIn (2 revisions)
- Educational recommender systems (2 revisions)
- Recommender system (2 revisions)
- Recommender Systems in the Social Web: Heterogeneity and Time Dimension (2 revisions)
- Practical Recommender Systems (2 revisions)
- MovieLens 1M Details (2 revisions)
- Daniel Tunkelang (2 revisions)
- UMAP (2 revisions)
- Music recommendation (2 revisions)
- LibRec (2 revisions)
- Moviepilot (2 revisions)
- Collaborative Filtering Recommender Systems (2 revisions)
- Semantic Recommendations based on Large Unstructured Datasets (2 revisions)
- Zalando (2 revisions)
- Tag (2 revisions)
- RSSE (2 revisions)
- Netflix (2 revisions)
- KDD Cup 2007 (2 revisions)
- Simplifying user-centric evaluation (2 revisions)
- Julia Hoxha (2 revisions)
- Summary of Matrix Factorization Tricks (2 revisions)
- Explicit feedback (2 revisions)
- IJCAI 2011 (2 revisions)
- Apple (2 revisions)
