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Subreddit recomendation system based on association rules harvested using data mining algorithms.

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FirstGalacticEmpire/association_rules_for_subreddits

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OLD
OLD
 
 
Report
Report
 
 
arules
arules
 
 
data
data
 
 
reddit_scrapper
reddit_scrapper
 
 
.gitignore
.gitignore
 
 
Clustering.ipynb
Clustering.ipynb
 
 
Parametry.ipynb
Parametry.ipynb
 
 
README.md
README.md
 
 
Untitled.ipynb
Untitled.ipynb
 
 
X_tsneL=3U=2000.csv
X_tsneL=3U=2000.csv
 
 
cluster_PCA.py
cluster_PCA.py
 
 
cluster_TSNA.py
cluster_TSNA.py
 
 
clusters.pdf
clusters.pdf
 
 
data.json
data.json
 
 
dm-association-rules.ipynb
dm-association-rules.ipynb
 
 
dvc.yaml
dvc.yaml
 
 
generate_association_rules_final.py
generate_association_rules_final.py
 
 
params.yaml
params.yaml
 
 
prepare.py
prepare.py
 
 
recommend.py
recommend.py
 
 
scrape_user.py
scrape_user.py
 
 
subreddit_index.json
subreddit_index.json
 
 
subreddits_names.json
subreddits_names.json
 
 
tsne_params.csv
tsne_params.csv
 
 

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association_rules_for_subreddits

Done by: Kacper Trębacz, Maciej Filanowicz, Jan Gruszczyński, Mikołaj Kruś.

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Association rules

In order to reproduce our results concerning association rules, please go to arules folder. In this folder run Generate-association-rules-final.ipynb to generate them and save results to a file. In order to play with our recomendation system, please run GetRulesFromPandas.ipynb . In this notebook generated rules will be loaded and example recomendations generated. You can generate your own recomendation by using get_rules() function from this file.

Caution At least 16GB of RAM are needed.

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Subreddit recomendation system based on association rules harvested using data mining algorithms.

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data-mining reddit subreddits association-rule-mining recomendation-algorithm mlxtend

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