A unified, comprehensive and efficient recommendation library
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Updated
Feb 24, 2025 - Python
A unified, comprehensive and efficient recommendation library
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
This is a repository of public data sources for Recommender Systems (RS).
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
🛍 A real-world e-commerce dataset for session-based recommender systems research.
CORE is a plug-and-play conversational agent for any recommender system.
Dartmouth Course Reviews, Rankings, and Recommendations
A self-assessment tool by @NC3-LU to help business owners implement a better cybersecurity strategy.
The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).
Recommendation for Amazon movie review data
automate the boring stuff!
Amar deep architectures for hybrid recommenders with GNNs
The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)
The system will make it easier for users to use the library services during Corona time without having to meet other people and self-risk
Amazon Personalize Langchain extensions to support invoking and retrieving personalized recommendations from your Amazon Personalize resources
[KDD 2025] The source code for UQABench
🤖 A Streamlit Chatbot Using PaLM-2
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