USTC-StarTeam/Awesome-Large-Recommendation-Models

🔥🔥🔥 Latest Advances on Large Recommendation Models

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This project is a curated collection of research papers and insights focused on large recommendation models, helping e-commerce managers, content strategists, and data scientists understand and improve how products or content are suggested to users. It takes in various research papers on recommendation systems and provides analysis and categorization of current advancements. The goal is to inform those working to enhance user experience and engagement through more effective recommendation engines.

120 stars. No commits in the last 6 months.

Use this if you are a researcher or practitioner looking for the latest studies, performance analyses, and scalability insights on large recommendation models, especially those involving complex user behaviors or ranking tasks.

Not ideal if you are looking for an off-the-shelf software tool or code to directly implement a recommendation system without delving into the underlying research.

e-commerce recommendations content suggestion user behavior analysis ranking algorithms sequential recommendations
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 0 / 25

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Last pushed

Dec 05, 2024

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