colloborative-filtering

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Here are 9 public repositories matching this topic...

amitkaps / recommendation

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Recommendation System using ML and DL

primer workshop deep-learning recsys hybrid-recommender colloborative-filtering

Updated Dec 8, 2022
Jupyter Notebook

HKUDS / LLMRec

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[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

recommendation-system data-augmentation-strategies content-based-recommendation graph-learning colloborative-filtering graph-augmentation multi-modal-recommendation recommendation-with-side-information

Updated May 9, 2024
Python

poojasrini / Customer-fashion-product-recommender-system

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Developed recommendation pipelines leveraging content-based and collaborative filtering to present top n customer recommendations from user items and customer purchase histories. Alternatively, image similarity recommendations were generated using k means clustering and Neural Networks (NNs) from product images.

exploratory-data-analysis recommendation-system clustering-algorithm vgg16-model content-based-filtering colloborative-filtering mobilenetv2-model

Updated Jul 31, 2023
Jupyter Notebook

crakesh27 / Recommender-System

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Implementation of various recommendation algorithms such as Collaborative filtering, SVD and CUR-decomposition to predict user movie ratings

recommender-system cur-decomposition svd-recommendation-algorithm colloborative-filtering

Updated Jun 3, 2022
Python

danielchristopher513 / Hybrid_Movie_Recommendation

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The Hybrid Movie Recommender is a system that recommends movies using a combination of collaborative and content-based filtering techniques. The system is designed to address the cold start problem(new users) by using a popularity based approach. The dataset used for the system is obtained from Kaggle.

python recommender-system movie-recommendation content-based-recommendation surprise-python hybrid-recommender-system colloborative-filtering