implicit-als

Here are 5 public repositories matching this topic...

KonNik88 / hybrid-book-recommender-system

A full-stack hybrid book recommender system combining collaborative filtering (ALS), content-based similarity (SBERT), and machine learning ranking (CatBoost). Backend: FastAPI • Frontend: Streamlit • Vector DB: Qdrant • Model serving • Cold-start fallback • Book metadata display.

nlp machine-learning collaborative-filtering learning-to-rank recommender-system feature-engineering catboost content-based-filtering goodbooks-10k fastapi vector-search ml-engineering hybrid-recommender streamlit sbert project-portfolio qdrant implicit-als

Updated Nov 15, 2025
Jupyter Notebook

miradimo / two-stage-recsys

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Production-ready Two-Stage Recommender System (iALS Retrieval + CatBoost Ranking) with FastAPI serving and Time-Split validation.

machine-learning ranking recommender-system retailrocket catboost fastapi implicit-als

Updated Aug 18, 2026
Python

artyomsavov / avito_recsys

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Retrieval + ranking pipeline for Avito ad recommendations. Processes 5B events under a 10 GB RAM budget. Co-visitation beats ALS 3.7x on a novelty-filtered target.

collaborative-filtering learning-to-rank recsys recommender-systems catboost duckdb polars memory-constrained implicit-als co-visitation

Updated Jul 20, 2026
Jupyter Notebook

NumiKun / Book-Recommendation-System

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End-to-end Hybrid Book Recommendation System combining Content-Based (TF-IDF), Collaborative Filtering (Implicit ALS), and SVD++ with an interactive Streamlit dashboard.

python data-science machine-learning collaborative-filtering matrix-factorization recommendation-system svd content-based-filtering streamlit implicit-als

Updated Sep 10, 2026
Jupyter Notebook

AndiArifAbdillah / movielens-recommender-system

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Perbandingan Content-Based Filtering dan Collaborative Filtering (Matrix Factorization SGD + Implicit ALS) pada 100.836 rating MovieLens. Implementasi NumPy murni, evaluasi temporal, baseline popularitas.

python machine-learning numpy collaborative-filtering matrix-factorization recommender-system movielens content-based-filtering implicit-als

Updated Sep 7, 2026
Jupyter Notebook

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