Feb 14, 2024 · We focus on how to utilize existing LLMs for mining and understanding relationships in graph data, applying these techniques to recommendation tasks.

Feb 14, 2024 · We aim to explore new methods for applying large language models to recommendation systems, especially when dealing with data containing a large amount of edge ...

An innovative framework that combines the strong contextual representation capabilities of LLMs with the relationship extraction and analysis functions of ...

Feb 16, 2024 · LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations. https://t.co/a0zwAgfsXU.

A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

A successful hybrid deep learning model aiming at promoter identification · LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized ...

A list of awesome papers and resources of recommender system on large language model (LLM). News: Our LLM4Rec survey has been released.

By using the PaLM API Text service, you can leverage the capabilities of LLMs to analyze the sequence of user-item interactions and generate recommendations ...

Leveraging Large Language Models (LLMs) for recommendation has recently garnered considerable attention, where fine-tuning plays a key role in LLMs' ...

Jul 28, 2024 · This article delves deep into the intricate processes of pre-training and fine-tuning LLMs for recommender systems, offering a thorough exploration of cutting- ...