Integrating Local Knowledge and Large Language Models: New Paper Accepted at the Knowledge-aware and Conversational Recommender Systems Workshop at the RecSys’23

๐Ÿ“ข Exciting News! ๐Ÿ“š Our paper titled “Potentials of Combining Local Knowledge and LLMs for Recommender Systems” has been accepted at the 5th Knowledge-aware and Conversational Recommender Systems Workshop.

๐ŸŒ Language Models have reshaped the landscape of natural language understanding, opening up new avenues for improving recommendation systems. In this work, we explore how combining Local Knowledge with Large Language Models can amplify the capabilities of recommender systems. It’s not just about replacing existing methods but enhancing and augmenting the recommendation process.

๐Ÿ‘ฅ Proud to have worked on this research with a fantastic team of editors: Ahmadou Wagne, Mete Sertkan, and Julia Neidhardt.

๐Ÿ™ Special thanks to our supporters: YouKnowMeBest & InnovaticGroup, FALTER VERLAGSGRUPPE, StartUs Insights, and Jobiqo for making this research possible.