S Xu, W Hua, Y Zhang - arXiv preprint arXiv:2306.11134, 2023 - researchgate.net
This paper presents OpenP5, an open-source library for benchmarking foundation models for recommendation under the Pre-train, Personalized Prompt and Predict Paradigm (P5) …
Abstract In recent years, Large Language Models (LLMs) have emerged as powerful tools for diverse natural language processing tasks. However, their potential for recommender …
C Huang, T Yu, K Xie, S Zhang, L Yao… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, Foundation Models (FMs), with their extensive knowledge bases and complex architectures, have offered unique opportunities within the realm of recommender systems …
With the information explosion on the Web, search and recommendation are foundational infrastructures to satisfying users' information needs. As the two sides of the same coin, both …
S Xu, W Hua, Y Zhang - Proceedings of the 47th International ACM SIGIR …, 2024 - dl.acm.org
In recent years, the integration of Large Language Models (LLMs) into recommender systems has garnered interest among both practitioners and researchers. Despite this …
H Liu, Y Wei, X Song, W Guan, YF Li, L Nie - arXiv preprint arXiv …, 2024 - arxiv.org
Multimodal recommendation aims to recommend user-preferred candidates based on her/his historically interacted items and associated multimodal information. Previous studies …
Generating recommendation reasons for recommendation results is a long-standing problem because it is challenging to explain the underlying reasons for recommending an …
K Bao, J Zhang, X Lin, Y Zhang, W Wang… - Proceedings of the 47th …, 2024 - dl.acm.org
Large language models (LLMs) have significantly influenced recommender systems, spurring interest across academia and industry in leveraging LLMs for recommendation …
J Zhang, K Bao, Y Zhang, W Wang, F Feng… - … Proceedings of the ACM …, 2024 - dl.acm.org
Large language models (LLMs) have significantly influenced recommender systems. Both academia and industry have shown growing interest in developing LLMs for …