xwzhong/papernote

paper note, including personal comments, introduction, code etc

37
/ 100
Emerging

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.

recommender-systems chatbot-development customer-engagement natural-language-processing AI-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 19 / 25

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276

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Last pushed

Apr 10, 2021

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