Michael RoiznerinTowards Data ScienceTwo-Tower Networks and Negative Sampling in Recommender SystemsUnderstand the key elements that power advanced recommendation enginesNov 24, 20233Nov 24, 20233
Subir VermaMulti-objective Ranking in Large-Scale E-commerce Recommender SystemsMotivationJan 102Jan 102
Rick KosseBuilding a Recommender System with Text Embeddings using Python and LightFMUnleashing the Power of Jokes…Jun 19, 2023Jun 19, 2023
George PipisContent-Based Recommender Systems in TensorFlow and BERT EmbeddingsA practical example of Content-Based Recommender Systems using TensorFlow and BERT Embeddings on ads and click-through rate data.Feb 20, 20231Feb 20, 20231
Joanna10 Recommendation Techniques: Summary & ComparisonThis article includes the following methods: Collaborative Filtering, Matrix Factorization, Logistic Regression, Gradient Boosting Decision…Nov 17, 2021Nov 17, 2021
Lina FaikinTowards Data ScienceBuilding Powerful Recommender Systems with Deep LearningA Step-by-Step Implementation Using the PyTorch Library TorchRecJul 3, 20231Jul 3, 20231
Dr. Robert KüblerinTowards Data ScienceA Performant Recommender System Without Cold Start ProblemWhen collaboration and content-based recommenders mergeJan 31, 20234Jan 31, 20234
Altimetrik Poland Tech BlogRetrieval-Ranking Recommendation System for H&M DatasetModern eCommerce Solutions Based on Deep Learning Algorithms (Part 3)Feb 2, 20231Feb 2, 20231
Radek OsmulskiinNVIDIA MerlinScale faster with less code using Two Tower with Merlinby Radek Osmulski, Benedikt Schifferer, Ronay Ak and Gabriel MoreiraJun 21, 20223Jun 21, 20223
