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).
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
CORE is a plug-and-play conversational agent for any recommender system.
The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).
The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)
A self-assessment tool by @NC3-LU to help business owners implement a better cybersecurity strategy.
Dartmouth Course Reviews, Rankings, and Recommendations
Simple CLI Tool For Generating Available Telegram Usernames
🎥 Simple Python implementation of Funk SVD for MovieLens movie collaborative recommendations.
📊📈 COMPASS-HR: AI-powered module for career paths, skill-gap analysis & org competency mapping. Recommends learning plans, helps build teams, models future roles, estimates hiring costs and aligns people development with strategy. Connects via open APIs to HR/ERP systems and uses Russian labor market data.
[KDD 2025] The source code for UQABench
Amazon Personalize Langchain extensions to support invoking and retrieving personalized recommendations from your Amazon Personalize resources
Market basket recommendations using association rules and apriori
automate the boring stuff!
Recommendation for Amazon movie review data
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