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Large language model enhanced recommender systems: Taxonomy, trend, application and future
Large Language Model (LLM) has transformative potential in various domains, including
recommender systems (RS). There have been a handful of research that focuses on …
recommender systems (RS). There have been a handful of research that focuses on …
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
Multi-modal sequential recommendation (SR) leverages multi-modal data to learn more
comprehensive item features and user preferences than traditional SR methods, which has …
comprehensive item features and user preferences than traditional SR methods, which has …
[HTML][HTML] IPSRM: An intent perceived sequential recommendation model
C Wang, M Wang, X Wang, Y Tan - … of King Saud University-Computer and …, 2024 - Elsevier
Objectives: Sequential recommendation aims to recommend items that are relevant to users'
interests based on their existing interaction sequences. Current models lack in capturing …
interests based on their existing interaction sequences. Current models lack in capturing …
Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation
RK Ong, AWH Khong - arxiv preprint arxiv:2412.14978, 2024 - arxiv.org
Incorporating multi-modal features as side information has recently become a trend in
recommender systems. To elucidate user-item preferences, recent studies focus on fusing …
recommender systems. To elucidate user-item preferences, recent studies focus on fusing …