Difference between revisions of "User:Zeno Gantner"

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[[Zeno Gantner]] formerly at University of Hildesheim, Germany. Now working at [[Nokia]].
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[[Zeno Gantner]], formerly at University of Hildesheim, Germany. Now working at [[Zalando]] in [[Berlin]].
* [http://www.ismll.uni-hildesheim.de/personen/gantner_en.html homepage]
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Primary developer of the [[MyMediaLite]] recommender system library.
* [http://twitter.com/zenogantner Twitter: @zenogantner]
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Co-organizer of the [[Recommender Stammtisch]] in Berlin.
* [https://github.com/zenogantner/ github: zenogantner]
 
  
I am the primary developer of the [[MyMediaLite]] recommender system library.
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[[Open positions at Zalando 2020]]
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[http://www.ismll.uni-hildesheim.de/personen/gantner_en.html homepage], [https://scholar.google.com/citations?user=AhVYsaoAAAAJ Google Scholar], [https://github.com/zenogantner/ GitHub], [http://stackoverflow.com/users/404824/zenog StackOverflow], [http://www.kaggle.com/users/15462/zenog Kaggle], [http://www.slideshare.net/zenogantner SlideShare]
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 +
 
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== TODO ==
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 +
* article about [[Zalando]]
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* article about Fashion RecSys workshop
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* add ISMLL dissertations
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* extend Person template
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* extend/create dataset template
  
 
== Article wishlist ==
 
== Article wishlist ==
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* <s>[[active learning]]</s>
 
* <s>[[active learning]]</s>
 
* [[attribute-aware recommendation]]
 
* [[attribute-aware recommendation]]
* [[attribute-based recommendation]]
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* [[attribute-based recommendation]] [http://www.theatlantic.com/technology/archive/2014/01/how-netflix-reverse-engineered-hollywood/282679/]
 
* [[bagging]]
 
* [[bagging]]
 
* [[bandit]] (-> [[multi-arm bandit]])
 
* [[bandit]] (-> [[multi-arm bandit]])
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* [[choice overload]] (ask Bart, Martijn, Dirk)
 
* [[choice overload]] (ask Bart, Martijn, Dirk)
 
* [[click stream]]
 
* [[click stream]]
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* [[client-side recommendation]] (ask Chris)
 
* [[coclustering]]
 
* [[coclustering]]
 
* [[code recommendation]] [http://t.co/QakdUh02]
 
* [[code recommendation]] [http://t.co/QakdUh02]
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* <s>[[context-aware recommendation]]</s>
 
* <s>[[context-aware recommendation]]</s>
 
* [[contextual bandit]]
 
* [[contextual bandit]]
* [[cross-validation]]
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* [[cross-validation]] [http://en.wikipedia.org/wiki/Cross-validation_(statistics)]
 
* [[data analytics]]
 
* [[data analytics]]
 
* [[data mining]]
 
* [[data mining]]
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* [[distance]]
 
* [[distance]]
 
* [[distributed computing]] (ask Sebastian)
 
* [[distributed computing]] (ask Sebastian)
* [[distributed matrix factorization]]
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* [[distributed matrix factorization]] (ask Rainer)
 
* [[Eigentaste]]
 
* [[Eigentaste]]
 
* [[Epinions dataset]]
 
* [[Epinions dataset]]
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* [[GraphLab]] (ask Danny)
 
* [[GraphLab]] (ask Danny)
 
* [[Greg Linden]]
 
* [[Greg Linden]]
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* [[grid search]] [http://en.wikipedia.org/wiki/Grid_search]
 
* <s>[[group recommendation]]</s>
 
* <s>[[group recommendation]]</s>
 
* <s>[[Harry Potter effect]]</s>
 
* <s>[[Harry Potter effect]]</s>
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* [[hyperparameter]]
 
* [[hyperparameter]]
 
* [[incentive]]
 
* [[incentive]]
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* [[Infer.NET]] [http://research.microsoft.com/en-us/um/cambridge/projects/infernet/docs/Recommender%20system.aspx]
 
* [[information retrieval]]
 
* [[information retrieval]]
 
* [[Introduction to recommender systems]]
 
* [[Introduction to recommender systems]]
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* [[Markov chain]] (ask Christoph)
 
* [[Markov chain]] (ask Christoph)
 
* [[Markov decision process]], [[MDP]]
 
* [[Markov decision process]], [[MDP]]
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* [[Matchbox]] [http://research.microsoft.com/en-us/um/cambridge/projects/infernet/docs/Recommender%20System.aspx] (ask Noam)
 
* <s>[[matrix factorization]]</s>
 
* <s>[[matrix factorization]]</s>
 
* [[maximum a-priori estimation]] ([[MAP]]) (ask Christoph)
 
* [[maximum a-priori estimation]] ([[MAP]]) (ask Christoph)
 
* [[mean average precision]] ([[MAP]]) - link to [http://en.wikipedia.org/wiki/Information_retrieval#Mean_average_precision]
 
* [[mean average precision]] ([[MAP]]) - link to [http://en.wikipedia.org/wiki/Information_retrieval#Mean_average_precision]
 
* [[mean reciprocal rank]]
 
* [[mean reciprocal rank]]
* [[Million Song Dataset]] (ask Paul Lamere)
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* <s>[[Million Song Dataset]]</s>
 
* <s>[[Million Song Dataset Challenge]]</s> (<s>ask Brian McFee</s>)
 
* <s>[[Million Song Dataset Challenge]]</s> (<s>ask Brian McFee</s>)
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* [[MinHash]]
 
* [[model]]
 
* [[model]]
 
* [[monetization]]
 
* [[monetization]]
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* [[R]]
 
* [[R]]
 
* [[ranking]]
 
* [[ranking]]
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* [[RecDB]] (ask, http://www-users.cs.umn.edu/~sarwat/RecDB/)
 
* [[recipe recommendation]]
 
* [[recipe recommendation]]
 
* [[recommendation of financial products]]
 
* [[recommendation of financial products]]
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* [[standard benchmarks]] TODO
 
* [[standard benchmarks]] TODO
 
* [[state of the art]] cmp. http://aclweb.org/aclwiki/index.php?title=State_of_the_art
 
* [[state of the art]] cmp. http://aclweb.org/aclwiki/index.php?title=State_of_the_art
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* [[stream processing]]
 
* <s>[[SVD]]</s>
 
* <s>[[SVD]]</s>
 
* <s>[[SVD++]], [[SVDPlusPlus]]</s>
 
* <s>[[SVD++]], [[SVDPlusPlus]]</s>
 
* [[TaFeng]]
 
* [[TaFeng]]
 
* <s>[[tag]]</s> (thanks Alan)
 
* <s>[[tag]]</s> (thanks Alan)
* [[tag-aware recommendation]] (ask Karen or Leandro)
 
 
* [[Tanimoto coefficient]] --> [[Jaccard index]]
 
* [[Tanimoto coefficient]] --> [[Jaccard index]]
 
* [[Tapestry]]
 
* [[Tapestry]]
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* [[Tucker decomposition]] (ask Steffen)
 
* [[Tucker decomposition]] (ask Steffen)
 
* [[TV program recommendation]] (ask Chris)
 
* [[TV program recommendation]] (ask Chris)
* [[UMAP]]: [[UMAP 2010]], <s>[[UMAP 2011]]</s>, [[UMAP 2012]]
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* [[UMAP]]
 
* [[user]]
 
* [[user]]
 
* [[user-item matrix]]
 
* [[user-item matrix]]
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* [[user satisfaction]]
 
* [[user satisfaction]]
 
* [[video recommendation]]
 
* [[video recommendation]]
* [[web service]]
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* [[WSDM]]
* [[1st Workshop on Context-Aware Recommender Systems]] (ask Alan)
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* [[Yahoo Movie Dataset]]
* [[2nd Workshop on Context-Aware Recommender Systems]] (ask Alan)
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* [[3rd Workshop on Context-Aware Recommender Systems]] (ask Alan)
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=== RecSys people ===
* [[Workshop on Context-Aware Recommender Systems]] ([[CARS]], ask Alan)
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* [[Joseph Konstan]]
* [[WSDM]]: [[WSDM 2010]], [[WSDM 2011]], [[WSDM 2012]], [[WSDM 2013]]
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* [[John Riedl]]
* [[Yahoo Movie Dataset]] (ask Noam and Markus)
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* [[Yehuda Koren]]
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* [[Pearl Pu]]
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* [[Greg Linden]]
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* [[Paul Lamere]]
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* [[Ted Dunning]]
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* [[Sebastian Schelter]] -- https://scholar.google.de/citations?user=zCpQUukAAAAJ&hl=en -- https://github.com/sscdotopen -- https://github.com/schelterlabs
  
 
=== Companies ===
 
=== Companies ===
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* [[Filmaster]]
 
* [[Filmaster]]
 
* <s>[[Filmtipset]]</s> (thanks Alan)
 
* <s>[[Filmtipset]]</s> (thanks Alan)
* [[Flixster]]
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* <s>[[Flixster]]</s> (thanks srbecker)
 
* [[foursquare]] -- [http://engineering.foursquare.com/2011/03/22/building-a-recommendation-engine-foursquare-style/] [http://engineering.foursquare.com/2012/03/23/machine-learning-with-large-networks-of-people-and-places/] (ask Max)
 
* [[foursquare]] -- [http://engineering.foursquare.com/2011/03/22/building-a-recommendation-engine-foursquare-style/] [http://engineering.foursquare.com/2012/03/23/machine-learning-with-large-networks-of-people-and-places/] (ask Max)
 
* [[Fredhopper]] (ask David)
 
* [[Fredhopper]] (ask David)
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* [[Sidebar]]
 
* [[Sidebar]]
 
* [[SoundCloud]] (ask Amelie and Michael)
 
* [[SoundCloud]] (ask Amelie and Michael)
* [[Spotify]] -- [http://paidcontent.org/2012/12/06/spotify-solves-discovery-by-discovering-music-aint-so-social-after-all/]
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* [[Spotify]] -- [http://paidcontent.org/2012/12/06/spotify-solves-discovery-by-discovering-music-aint-so-social-after-all/] [http://vimeo.com/57900625]
 
* [[Strands]]
 
* [[Strands]]
 
* [[TiVo]]
 
* [[TiVo]]

Revision as of 08:52, 28 September 2020

Zeno Gantner, formerly at University of Hildesheim, Germany. Now working at Zalando in Berlin. Primary developer of the MyMediaLite recommender system library. Co-organizer of the Recommender Stammtisch in Berlin.


Open positions at Zalando 2020


homepage, Google Scholar, GitHub, StackOverflow, Kaggle, SlideShare


TODO

  • article about Zalando
  • article about Fashion RecSys workshop
  • add ISMLL dissertations
  • extend Person template
  • extend/create dataset template

Article wishlist

RecSys people

Companies

RecSys slides, classes, etc.