user-collaborative-filtering

The objective of the competition was to create the best recommender system for a book recommendation service by providing 10 recommended books to each user. The evaluation metric was MAP@10.

slim matrix-factorization recommender-systems bayesian-optimization polimi elasticnet user-collaborative-filtering item-collaborative-filtering content-based-recommendation alternating-least-squares hybrid-recommender-system implicit-feedbacks p3alpha

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Python

mohammedjasam / Recommendation-System

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A recommendation system for Restaurants!

svd nmf rmse pmf user-collaborative-filtering item-collaborative-filtering mae

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Python

unnathi10 / Movie-Recommendation-System-Using-Collaborative-Filtering

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Project for CS267 Topics in Database Systems

collaborative-filtering mahout recommendation-system movie-recommendation user-collaborative-filtering item-collaborative-filtering

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Jupyter Notebook

maz2198 / Recommendation-Engines

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This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Recommendation Engines course.

r optimization collaborative-filtering association-rules groceries user-collaborative-filtering item-collaborative-filtering content-based-recommendation business-analytics recommendation-engines

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ardee123 / Analysis-of-massive-data-sets

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Analysis of massive data sets

java collaborative-filtering recommender-system user-collaborative-filtering item-collaborative-filtering

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Java

mafda / recommendations_with_ibm

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This repository analyze user interactions with articles on the IBM Watson Studio platform and develop recommendation systems to suggest new articles that align with their interests.

jupyter-notebook matrix-factorization recommendation-system recommendation-engine recommender-system recommendation ibm-watson user-collaborative-filtering content-based-recommendation ranked-based-recommendation

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francescoperessini / Recommender-System-PoliMi-2019

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Recommender System 2019 Challenge PoliMi

slim matrix-factorization recommendation-system recommender-system bayesian-optimization polimi elasticnet user-collaborative-filtering item-collaborative-filtering alternating-least-squares hybrid-recommender-system content-based-filtering implicit-feedbacks rp3beta

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Python

ahmadj1801 / Movie-Recommendation-System

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A User Collaborative Movie Recommendation System

machine-learning data-visualization similarity recommendation-system pycharm user-collaborative-filtering

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Python

anudeepvanjavakam1 / Recommendations_with_IBM

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In the IBM Watson Studio, there is a large collaborative community ecosystem of articles, datasets, notebooks, and other A.I. and ML. assets. Users of the system interact with all of this. This is a recommendation system project to enhance the user experience and connect them with assets. This personalizes the experience for each user.

notebook python3 matrix-factorization recommendation-system recommendation-engine ibm-watson user-collaborative-filtering rank-based-recommendation user-engagement-and-retention

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aybukemeydan / Collaborative-Based-Recommender-for-London-Restaurants

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flask spark pipeline recommender-system als user-collaborative-filtering folium-maps

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