RManLuo/MAMDR
Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation
This project helps e-commerce companies and online platforms improve their product recommendation systems. By taking user interaction data from multiple product categories or 'domains' (like different Amazon departments or Taobao themes), it outputs better, more relevant product suggestions. E-commerce managers, data scientists in retail, or product managers looking to boost sales through improved recommendations would find this useful.
No commits in the last 6 months.
Use this if you need to train a recommendation system that leverages user behavior across different product categories or content types to make smarter suggestions within any single category.
Not ideal if your recommendation needs are limited to a single product category and you have no intention of using data from other categories.
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38
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5
Language
Python
License
MIT
Category
Last pushed
Nov 27, 2023
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