Difference between revisions of "User:Zeno Gantner"
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* [[CofiRank]] | * [[CofiRank]] | ||
* <s>[[cold-start problem]]</s> | * <s>[[cold-start problem]]</s> | ||
| + | * [[computational advertising]] | ||
* <s>[[content-based filtering]]</s> | * <s>[[content-based filtering]]</s> | ||
* [[context]] | * [[context]] | ||
| Line 64: | Line 65: | ||
* <s>[[Pearson correlation]]</s> | * <s>[[Pearson correlation]]</s> | ||
* [[personalization]] | * [[personalization]] | ||
| + | * [[personalized advertising]] | ||
* [[personalized search]] | * [[personalized search]] | ||
* [[product recommendation]] | * [[product recommendation]] | ||
| Line 88: | Line 90: | ||
* [[user-item matrix]] | * [[user-item matrix]] | ||
* [[user model]] | * [[user model]] | ||
| + | * [[user recommendation]] | ||
* [[user satisfaction]] | * [[user satisfaction]] | ||
* [[video recommendation]] | * [[video recommendation]] | ||
| Line 95: | Line 98: | ||
* [[Amazon]] | * [[Amazon]] | ||
* [[Commendo]] | * [[Commendo]] | ||
| + | * [[EBay]] | ||
* [[The Echo Nest]] | * [[The Echo Nest]] | ||
* [[Facebook]] | * [[Facebook]] | ||
| Line 102: | Line 106: | ||
* [[Hunch]] | * [[Hunch]] | ||
* [[Last.fm]] | * [[Last.fm]] | ||
| + | * [[LinkedIn]] | ||
* [[MoviePilot]] | * [[MoviePilot]] | ||
* [[Netflix]] | * [[Netflix]] | ||
Revision as of 11:55, 10 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
- keyword-based recommendation
kNN- learning
- learning to rank
- location-aware recommendation
- long tail
- MAP
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 systemregularization- restricted Boltzmann machine
- scalability
- serendipity
- similarity
- SVD++
- TaFeng
- tag
- tag-aware recommendation
- tensor factorization
- text-based recommendation
- 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
- 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
