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Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

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AI + Data, online. https://vespa.ai

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

A Python implementation of LightFM, a hybrid recommendation algorithm.

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Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

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QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

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Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.

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Omniscient Knowledge Graph for Artificial Intelligence