User:Zeno Gantner

Zeno Gantner from University of Hildesheim, Germany.

• homepage
• Twitter: @zenogantner
• github: zenogantner

I am the primary developer of the MyMediaLite recommender system library.

Article wishlist

• A/B testing
• active learning
• attribute-aware recommendation
• attribute-based recommendation
• bandit
• blogs
• BookCrossing
• Category:File format
• CHI
• choice overload
• click stream
• CofiRank (ask Markus)
• cold-start problem
• computational advertising
• content-based filtering
• context
• context-aware recommendation
• cross-validation
• data analytics
• data mining
• decision theory (ask Martijn or Bart)
• distance
• distributed computing
• distributed matrix factorization
• Eigentaste
• Epinions dataset
• exploration vs. exploitation
• factorization models
• FAQ for recommender system developers
• FAQ for recommender system users
• Filter bubble (ask Alan and Neal)
• Flixster dataset
• GraphLab (ask Danny)
• group recommendation
• Harry Potter effect
• HCI
• higher-order SVD
• hybrid recommendation
• hyperparameter
• incentive
• information retrieval
• Introduction to recommender systems
• Introduction to recommender system algorithms
• IPTV
• item
• IUI: IUI 2010, IUI 2011, IUI 2012
• Jester
• job recommendation
• Joke recommendation
• KDD Cup
• KDD: KDD 2007, KDD 2008, KDD 2009, KDD 2010
• KDD Cup 2010
• keyword-based recommendation
• kNN
• lab testing
• learning
• learning to rank
• live evaluation
• location-aware recommendation
• long tail
• machine learning
• MAP (ask Christoph)
• Markov chain (ask Christoph)
• Markov decision process, MDP
• matrix factorization
• mean average precision (MAP) - link to [1]
• mean reciprocal rank
• Million Song Dataset
• model
• monetization
• Movie Hack Day (ask Jannis)
• multi-arm bandit
• Music Hack Day
• MyMedia
• NDCG
• news recommendation
• offline experiment
• overfitting
• pairwise interaction tensor factorization (ask Steffen)
• parallel factor analysis (PARAFAC), canonical decomposition
• parameter
• Pearson correlation
• personalization
• personalized advertising
• personalized search
• preference elicitation
• product recommendation
• public transport (ask Neal)
• R
• ranking
• recipe recommendation
• recommendation of financial products
• recommender system
• reinforcement learning
• regularization
• reputation
• restricted Boltzmann machine (ask Andriy)
• review
• scalability
• semi-supervised learning
• serendipity (ask Alan)
• similarity
• software as a service
• software recommendation
• SVD
• SVD++, SVDPlusPlus
• TaFeng
• tag
• tag-aware recommendation
• tensor factorization
• text-based recommendation
• text mining
• time-aware recommendation
• transductive learning
• Tucker decomposition
• TV program recommendation
• UMAP: UMAP 2010, UMAP 2011, UMAP 2012
• user
• user-item matrix
• user model
• user preferences
• user recommendation
• user satisfaction
• video recommendation
• web service
• 1st Workshop on Context-Aware Recommender Systems
• 2nd Workshop on Context-Aware Recommender Systems
• 3rd Workshop on Context-Aware Recommender Systems
• Workshop on Context-Aware Recommender Systems (CARS)
• WSDM: WSDM 2010, WSDM 2011, WSDM 2012

Companies

• Amazon
• Commendo
• EBay
• The Echo Nest
• Facebook
• Filmaster
• Filmtipset
• Flixster
• foursquare
• Google
• Gravity
• Hulu
• Hunch
• Last.fm
• LinkedIn
• MoviePilot
• Netflix
• Pandora
• RichRelevance
• Scarab Research
• Strands
• TiVo
• Twitter
• Yahoo
• Zite

RecSys slides, classes, etc.

• http://www.lsi.dsc.ufcg.edu.br/lib/exe/fetch.php?id=bd_lanche&cache=cache&media=fatoracao_matrizes.pdf