RecAI and AdaRec
About RecAI
microsoft/RecAI
Bridging LLM and Recommender System.
RecAI helps e-commerce managers, content curators, and platform strategists build more intelligent and interactive recommendation systems. It takes various forms of data, like user interactions and item descriptions, and uses large language models to generate personalized product recommendations, content suggestions, or tailored user experiences. The output is a more sophisticated and explainable recommendation engine.
About AdaRec
amazon-science/AdaRec
Adaptive Generative Recommendations with Large Language Models
AdaRec helps marketing and sales teams predict how individual customers will react to different promotions or product recommendations. It takes your customer's past behavior and profile data to generate rich natural language descriptions of them. This allows it to predict outcomes like purchase likelihood under various scenarios and suggest ideal products, helping you tailor your customer engagement strategies more effectively.
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