GitHub - Sohdes/Projects: This project compares the performance of LightGCN, SVD, and ALS algorithms in recommender systems using the MovieLens 100K dataset, aiming to evaluate their accuracy and efficiency.

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This project compares the performance of LightGCN, SVD, and ALS algorithms in recommender systems using the MovieLens 100K dataset, aiming to evaluate their accuracy and efficiency.

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This project compares the performance of LightGCN, SVD, and ALS algorithms in recommender systems using the MovieLens 100K dataset, aiming to evaluate their accuracy and efficiency.