Are you an AI or ML engineer ? Or knows how recommendations at retail works
I'm curious to know which methodology is commonly used in the industry for recommending similar products at scale.
With so many options available—like 1.Market Basket Analysis, 2.Collaborative Filtering, 3.Transformers, 4.TensorFlow Recommenders, Google Recommendations AI, and 5.services like Recombee or Amazon Personalize—I’d love to hear insights on what’s considered effective and why.
If you’ve had experience with any of these or have other recommendations, I’d really appreciate your thoughts!
#MachineLearning #Recommendations #AI #ProductRecommendation #DataScience #TensorFlow #CollaborativeFiltering
Depends on where the recommendations are being shown. Home Page, under a product, notifications?
Lets suppose its under a product and i want to build a recommendation system which can recommend a most likely bought product ? I want to know what companies at industry scale does and reference where i can learn
