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I want to convert this notebook written in tf1 to tf2, more specifically the softmax reccommender (Section VI. Softmax model) model in there:
https://colab.research.google.com/github/google/eng-edu/…
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I am working on the Collab Filtering recommender
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I think it would be valuable if some of the most popular recommendation datasets would be included, like:
- Movielens 1M & 20M
- Criteo ads dataset
- Spotify 1M playlist dataset
...
If there’s mor…
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I made a classic matrix factorization model for movie recommendation system using keras using batch size 128, Stochastic Gradient Descent and mse loss on the 20M movielens dataset. It gave me the min…
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I was checking other Spark-based in response to #226 to make sure they all cache their RRDs, and when I got to movie lens `movie-lens` and I found the following:
There are 5 RDDs (`ratings`, `perso…
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Tutorial URL: https://developers.sap.com/tutorials/hxe-aa-movielens-05.html
in step 10, I tried to build HANA DB table, here is the error I see:
$$$$$$$$$$$$$$$$$
Deploying "src/hdb/apl/views/r…
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https://games.criticker.com/ (movies too)
https://movielens.org/ (end user lenskit movie site)
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### Description
As in any ML experimental setting, only the `test` dataset should be used to compute benchmarks. However, in the BPR deep dive notebook :
https://github.com/microsoft/recommenders/…
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Tutorial URL: https://developers.sap.com/tutorials/hxe-aa-movielens-09.html
Please specify the step you are referring to Step 5:
Hello Abdel,
The Build of the three files recommendation_execu…
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### Description
Not 100% this is discussed before but it would be great that SAR Single Node can handle the index better for an enhanced usability.
Painpoints:
* When one tries to build a SAR mod…