Recommender System Challenge 2022

This repository contains all the code used in the Recommender System challenge of the Recommender System course at PoliMi.

Part of the code is taken from the course repository.

Data

There were given 3 datasets: ICM_length, ICM_type and interactions_and_impressions. With the first 2 we created the ICM, but there were few features and for this reason we didn't use the KNN Content Base Filtering recommender. From the last dataset we created the final URM.

Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
CythonCompiler		CythonCompiler
Data_manager		Data_manager
Evaluation		Evaluation
HyperparameterTuning		HyperparameterTuning
OutlierDetection		OutlierDetection
Recommenders		Recommenders
Utils		Utils
data		data
recommendations		recommendations
.gitignore		.gitignore
01 - Top_Popular_Recommender.ipynb		01 - Top_Popular_Recommender.ipynb
02 - KNN_content_base_filtering.ipynb		02 - KNN_content_base_filtering.ipynb
03 - KNN_collaborative_filtering.ipynb		03 - KNN_collaborative_filtering.ipynb
04 - IALS_Recommender.ipynb		04 - IALS_Recommender.ipynb
05 - MatrixFactorization_BPR_Recommender.ipynb		05 - MatrixFactorization_BPR_Recommender.ipynb
06 - PureItemSVD_Recommender.ipynb		06 - PureItemSVD_Recommender.ipynb
07 - PureSVD_Recommender.ipynb		07 - PureSVD_Recommender.ipynb
08 - SLIM_BPR_recommender.ipynb		08 - SLIM_BPR_recommender.ipynb
09 - SLIM_ElasticNet_recommender.ipynb		09 - SLIM_ElasticNet_recommender.ipynb
10 - P3Aplha_recommender.ipynb		10 - P3Aplha_recommender.ipynb
11 - RP3Beta_recommender.ipynb		11 - RP3Beta_recommender.ipynb
12 - EASE_R_recommender.ipynb		12 - EASE_R_recommender.ipynb
13 - FactorizationMachines_Recommenders.ipynb		13 - FactorizationMachines_Recommenders.ipynb
14 - Different Models for Different Users Based on User Profile Length.ipynb		14 - Different Models for Different Users Based on User Profile Length.ipynb
15 - DiffStructHybridRecommender.ipynb		15 - DiffStructHybridRecommender.ipynb
16 - ItemSimilarityKNNHybridRecommender.ipynb		16 - ItemSimilarityKNNHybridRecommender.ipynb
ICM visualization and preprocessing.ipynb		ICM visualization and preprocessing.ipynb
KNEE-ELBOW Analisys.ipynb		KNEE-ELBOW Analisys.ipynb
README.md		README.md
kaggle		kaggle
recmodels.py		recmodels.py
requirements.txt		requirements.txt
run_compile_all_cython.py		run_compile_all_cython.py
utils.py		utils.py

alecontuIT/rec_sys_challenge

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Recommender System Challenge 2022

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