Difference between revisions of "User:Zeno Gantner"
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Zeno Gantner (talk | contribs) |
Zeno Gantner (talk | contribs) |
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| Line 26: | Line 26: | ||
* [[Jester]] | * [[Jester]] | ||
* [[keyword-based recommendation]] | * [[keyword-based recommendation]] | ||
| − | * [[kNN]] | + | * <s>[[kNN]]</s> |
* [[learning to rank]] | * [[learning to rank]] | ||
* [[location-aware recommendation]] | * [[location-aware recommendation]] | ||
| − | * [[matrix factorization]] | + | * <s>[[matrix factorization]]</s> |
* [[news recommendation]] | * [[news recommendation]] | ||
* [[overfitting]] | * [[overfitting]] | ||
* [[pairwise interaction tensor factorization]] | * [[pairwise interaction tensor factorization]] | ||
| + | * [[parallel factor analysis]] ([[PARAFAC]]), [[canonical decomposition]] | ||
* [[Pearson correlation]] | * [[Pearson correlation]] | ||
* [[personalization]] | * [[personalization]] | ||
| Line 42: | Line 43: | ||
* [[scalability]] | * [[scalability]] | ||
* [[serendipity]] | * [[serendipity]] | ||
| + | * [[similarity]] | ||
* [[SVD++]] | * [[SVD++]] | ||
* [[tag]] | * [[tag]] | ||
Revision as of 13:22, 6 June 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
- Bookcrossing
cold-start problemcontent-based filtering- context-aware recommendation
- decision theory
- factorization models
- group recommendation
- Harry Potter effect
- higher-order SVD
- hybrid recommendation
- IPTV
- item
- Jester
- keyword-based recommendation
kNN- learning to rank
- location-aware recommendation
matrix factorization- news recommendation
- overfitting
- pairwise interaction tensor factorization
- parallel factor analysis (PARAFAC), canonical decomposition
- Pearson correlation
- personalization
- personalized search
- ranking
- recommender system
- regularization
- restricted Boltzmann machine
- scalability
- serendipity
- similarity
- SVD++
- tag
- tag-aware recommendation
- tensor factorization
- text-based recommendation
- time-aware recommendation
- Tucker decomposition
- user
- user model
- video recommendation