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Raghunandan Hulikal Keshavan

2 accepted papers

2024

Aligning Large Language Models with Recommendation Knowledge

NAACL 2024findings

Large language models (LLMs) have recently been used as backbones for recommender systems. However, their performance often lags behind conventional methods in standard tasks like retrieval. We attribute this to a mismatch between LLMs’ knowledge and the knowledge crucial for effective recommendatio…

2023

Recommender Systems with Generative Retrieval

NeurIPS 2023poster

Modern recommender systems perform large-scale retrieval by embedding queries and item candidates in the same unified space, followed by approximate nearest neighbor search to select top candidates given a query embedding. In this paper, we propose a novel generative retrieval approach, where the re…

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