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Oct 31, 20238 min read
Fashion Recommender System with Visual Similarity Search
Introduction The objective of this project is to create a content-based fashion recommender system by utilizing vector embeddings of...

Aug 11, 20232 min read
Recommender System part 5: Embeddings and Similarity Measures
Embedding Space Embedding refers to a technique used in machine learning to convert discrete elements, such as words, objects, or...

Aug 3, 20234 min read
Recommender Systems part 4: Candidate Generation - Content-Based Filtering
In this section, we will start to develop a second type of recommender system called content-based filtering algorithm. Collaborative vs...

Aug 2, 20237 min read
Project: Movie Recommender system with TensorFlow Recommenders and Netflix dataset
A recommendation system helps users find content in a large corpora, with 60% of watch time on Youtube coming from recommendations. With...

Jul 28, 20234 min read
Recommender Systems Part 3: Candidate Generation - Collaborative Filtering (continued)
Binary Labels: Favorites, Likes, and Clicks Many important applications of recommender systems or collaborative filtering algorithms...
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