Adaptive In-Context Learning with Large Language Models for Bundle Generation - Recommendation Systems

Explore an innovative approach to bundle generation in recommendation systems through this 15-minute conference talk presented at SIGIR 2024. Delve into the concept of adaptive in-context learning using large language models for creating product bundles. Gain insights from authors Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, and Wenyuan Liu as they discuss their research findings and methodologies. Understand how this technique can potentially enhance recommendation accuracy and user experience in e-commerce and other digital platforms. Learn about the intersection of natural language processing and recommendation systems, and discover the potential applications of this cutting-edge approach in various industries.

SIGIR 2024 M3.5 [fp] Adaptive In-Context Learning with Large Language Models for Bundle Generation