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**Is your feature request related to a problem? Please describe.**
When a recommender fails, one can see it mainly in the recommender log that is accessible from the sidebar, but that is a bit hidden…
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I have trained a model as follows:
relevant_data = data.select_columns(['full_url', 'text_content'])
model = tc.recommender.item_content_recommender.create(relevant_data, "full_url")
I …
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**Is your feature request related to a problem? Please describe.**
Some creators/orem operators are running into issues with memory usage that may stem from running Forem on smaller than expected s…
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ML-20m with DDPG: https://towardsdatascience.com/reinforcement-learning-ddpg-and-td3-for-news-recommendation-d3cddec26011
sporitfy : https://towardsdatascience.com/recommendation-system-with-reinforc…
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Using RBM's
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/gunawardana09__unified_approac_build_hybrid_recom_system.pdf
Extending SVD++:
https://dl.acm.org/doi/pdf/10.1145/24…
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**Is your feature request related to a problem? Please describe.**
Right now, the training of recommenders in INCEpTION is syncronous for a user, i.e. configured recommenders are trained one after a…
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Create recommender system that uses discrete choice abstract comparisons presented to the user to determine the underlying topic combination they are looking for. Topic proportions would be the attrib…
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I have this code to rebuild my index
```
Book.where(is_public: true).order(id: :desc).find_each do |book|
recommender = Books_recommender.new
if @books.try(:bookstats).present?
…
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#### Learning Goals
Basic data wrangling, data manipulation, and basic Machine Learning concepts.
### Exercise Statement
Movie Recommender is a Machine Learning / Data Manipulation based project,…