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Welcome to the recsys2019 wiki!

https://ai.googleblog.com/2018/12/tf-ranking-scalable-tensorflow-library.html

Pomysły:

Wyrównanie minibatchy do zapytań

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Additionally, we provide minibatch iterators for Learning to Rank datasets. These generate variable-sized minibatches, where each minibatch represents one query and all associated query-document instances. You can additionally specify whether the iterator should repeat infinitely and/or shuffle the data on every epoch.

https://github.com/rjagerman/shoelace

Graph features - networkX

Wykorzystanie features z grafów.

"Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

https://github.com/benedekrozemberczki/DANMF - nowa metoda faktoryzacji.

Inne:

• vowpal wabbit
• factorization machines (w tym field aware factorization machines)
• svd
• sieci glebokie (user_id,item_id jak embeddingi)
• modele sekwencyjne