Difference between revisions of "User:Zeno Gantner"
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Zeno Gantner (talk | contribs) |
Zeno Gantner (talk | contribs) |
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* [[long tail]] | * [[long tail]] | ||
* [[MAP]] | * [[MAP]] | ||
| + | * [[Markov chain]] | ||
| + | * [[Markov decision process]], [[MDP]] | ||
* <s>[[matrix factorization]]</s> | * <s>[[matrix factorization]]</s> | ||
* [[mean average precision]] | * [[mean average precision]] | ||
| Line 75: | Line 77: | ||
* [[recommendation of financial products]] | * [[recommendation of financial products]] | ||
* <s>[[recommender system]]</s> | * <s>[[recommender system]]</s> | ||
| + | * [[reinforcement learning]] | ||
* <s>[[regularization]]</s> | * <s>[[regularization]]</s> | ||
* [[restricted Boltzmann machine]] | * [[restricted Boltzmann machine]] | ||
| Line 88: | Line 91: | ||
* [[tensor factorization]] | * [[tensor factorization]] | ||
* [[text-based recommendation]] | * [[text-based recommendation]] | ||
| + | * [[text mining]] | ||
* [[time-aware recommendation]] | * [[time-aware recommendation]] | ||
* [[Tucker decomposition]] | * [[Tucker decomposition]] | ||
Revision as of 04:52, 11 August 2011
Zeno Gantner from University of Hildesheim, Germany.
- homepage
- Twitter: @zenogantner
I am the main developer of the MyMediaLite recommender system library.
We have currently open PhD/PostDoc positions at our lab: Open positions at ISMLL 2011
Article wishlist
- A/B testing
active learning- attribute-aware recommendation
- attribute-based recommendation
- bandit
- BookCrossing
- Category:File format
- CHI
- choice overload
- CofiRank
cold-start problem- computational advertising
content-based filtering- context
- context-aware recommendation
- decision theory
- Eigentaste
- exploration vs. exploitation
- factorization models
- FAQ for recommender system developers
- FAQ for recommender system users
- Filter bubble
group recommendation- Harry Potter effect
- HCI
- higher-order SVD
hybrid recommendation- hyperparameter
- information retrieval
- Introduction to recommender systems
- Introduction to recommender system algorithms
- IPTV
- item
- IUI: IUI 2010, IUI 2011, IUI 2012
- Jester
- Joke recommendation
- KDD Cup
- KDD: KDD 2007, KDD 2008, KDD 2009, KDD 2010
- KDD Cup 2010
- keyword-based recommendation
kNN- learning
- learning to rank
- location-aware recommendation
- long tail
- MAP
- Markov chain
- Markov decision process, MDP
matrix factorization- mean average precision
- model
- Movie Hack Day
- multi-arm bandit
- Music Hack Day
NDCG- news recommendation
- overfitting
- pairwise interaction tensor factorization
- parallel factor analysis (PARAFAC), canonical decomposition
- parameter
Pearson correlation- personalization
- personalized advertising
- personalized search
- product recommendation
- ranking
- recipe recommendation
- recommendation of financial products
recommender system- reinforcement learning
regularization- restricted Boltzmann machine
- scalability
- serendipity
- similarity
- software as a service
- software recommendation
- SVD++
- TaFeng
- tag
- tag-aware recommendation
- tensor factorization
- text-based recommendation
- text mining
- time-aware recommendation
- Tucker decomposition
- TV program recommendation
- UMAP: UMAP 2010, UMAP 2011, UMAP 2012
- user
- user-item matrix
- user model
- user recommendation
- user satisfaction
- video recommendation
- web service
- WSDM: WSDM 2010, WSDM 2011, WSDM 2012
Companies
- Amazon
- Commendo
- EBay
- The Echo Nest
- Filmtipset
- Gravity
- Hunch
- Last.fm
- MoviePilot
- Netflix
- RichRelevance
- Scarab Research
- Strands
- TiVo
- Yahoo
RecSys slides, classes, etc.
Personal TODO list
- rename remaining plural categories
- (after some time) remove the old plural categories
