Product Recommender System: OpenAI Text Embedding
A renowned online shopping platform named GlimmerGate has hired you, as an AI Engineer, to help them improve their product recommendation system. They aim to provide personalized recommendations to users based on their recent product views.
They have provided a product dataset containing information such as title, description, and ID, about 2000 of their products. Additionally, they have supplied a list of 10 recently viewed products by a user. They want you to develop a prototype to recommend products that the user has never viewed before, based on their recently viewed products.
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