2 papers
cs.IR2025
Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations
Blaž Škrlj, Benoît Guilleminot, Andraž Tori
Large language models (LLMs) and their associated agent-based frameworks have significantly advanced automated information extraction, a critical component of modern recommender sy…
cs.LG2024
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second
Blaž Å krlj, Benjamin Ben-Shalom, Grega GaÅ¡perÅ¡iÄ +5
Field-aware Factorization Machines (FFMs) have emerged as a powerful model for click-through rate prediction, particularly excelling in capturing complex feature interactions. In t…