Difference between revisions of "User:Zeno Gantner"

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== TODO ==
 
== TODO ==
  
−
* article about [[Zalando]]
+
* page about Fashion RecSys workshop
−
* article about Fashion RecSys workshop
+
* add link to Google tutorial
−
* add ISMLL dissertations
+
* add pages about PyTorch and TF recommendations
 
* extend Person template: Google Scholar, LinkedIn, SlideShare, and GitHub
 
* extend Person template: Google Scholar, LinkedIn, SlideShare, and GitHub
 
* extend/create dataset template (link to downloads, Google scholar search, Papers with Code)
 
* extend/create dataset template (link to downloads, Google scholar search, Papers with Code)
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* [[A/B testing]]
 
* [[A/B testing]]
 
* <s>[[active learning]]</s>
 
* <s>[[active learning]]</s>
 +
* [[approximate nearest neighbor search]]
 
* [[attribute-aware recommendation]]
 
* [[attribute-aware recommendation]]
 
* [[attribute-based recommendation]] [http://www.theatlantic.com/technology/archive/2014/01/how-netflix-reverse-engineered-hollywood/282679/]
 
* [[attribute-based recommendation]] [http://www.theatlantic.com/technology/archive/2014/01/how-netflix-reverse-engineered-hollywood/282679/]
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* [[Matchbox]] [http://research.microsoft.com/en-us/um/cambridge/projects/infernet/docs/Recommender%20System.aspx] (ask Noam)
 
* [[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]])
 +
* [[maximum inner product search]]
 
* [[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]]

Revision as of 18:03, 1 December 2022

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.

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

TODO

  • page about Fashion RecSys workshop
  • add link to Google tutorial
  • add pages about PyTorch and TF recommendations
  • extend Person template: Google Scholar, LinkedIn, SlideShare, and GitHub
  • extend/create dataset template (link to downloads, Google scholar search, Papers with Code)
  • create company template (similar to persons)
  • page about Recsperts podcast

Article wishlist

RecSys people

Companies

RecSys slides, classes, etc.

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