xwzhong/papernote
paper note, including personal comments, introduction, code etc
This collection helps you understand and implement cutting-edge AI for recommending products, content, or services, and for building conversational AI systems. It provides curated notes and links to research papers on various recommendation algorithms and methods for developing chatbots that can answer questions or generate human-like responses. Business analysts, product managers, and data scientists looking to enhance user engagement or automate customer interactions would find this useful.
276 stars. No commits in the last 6 months.
Use this if you need to research different approaches to building recommendation engines or developing advanced conversational AI for customer support, virtual assistants, or interactive applications.
Not ideal if you are looking for ready-to-use code implementations or a plug-and-play solution, as this is a curated knowledge base of research papers.
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Apr 10, 2021
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