orion-orion/CDSRec
🔨 跨域序列推荐（Cross-Domain Sequential Recommendation）的算法工具箱，旨在提供序列推荐、跨域推荐、跨域序列方法的baseline实现。目前本工具箱已包括TiSASRec、CoNet、PINet、MIFN这四种方法的实现。
This toolbox helps e-commerce platforms and content providers improve product or content recommendations by leveraging user behavior across different categories or domains. It takes raw user interaction sequences from multiple domains (e.g., shopping and entertainment) and outputs refined, personalized recommendations. E-commerce managers, content strategists, and data scientists looking to enhance user engagement and sales through better recommendations would find this useful.
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Use this if you need to generate more accurate and diverse sequential recommendations by combining user interaction data from different product or content domains.
Not ideal if you only have user interaction data within a single domain or are not working with sequential user behavior.
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28
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6
Language
Python
License
MIT
Category
Last pushed
Jun 15, 2023
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0
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