Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Luo, Yucong, Qin, Qitao, Zhang, Hao, Cheng, Mingyue, Yan, Ruiran, Wang, Kefan, Ouyang, Jie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation
by: Qin, Qitao, et al.
Published: (2024)
by: Qin, Qitao, et al.
Published: (2024)
DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation
by: Qin, Qitao, et al.
Published: (2025)
by: Qin, Qitao, et al.
Published: (2025)
Unlocking the Potential of Large Language Models for Explainable Recommendations
by: Luo, Yucong, et al.
Published: (2023)
by: Luo, Yucong, et al.
Published: (2023)
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation
by: Qin, Qitao, et al.
Published: (2025)
by: Qin, Qitao, et al.
Published: (2025)
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models
by: Lin, Xueting, et al.
Published: (2024)
by: Lin, Xueting, et al.
Published: (2024)
Rethinking Purity and Diversity in Multi-Behavior Sequential Recommendation from the Frequency Perspective
by: Han, Yongqiang, et al.
Published: (2025)
by: Han, Yongqiang, et al.
Published: (2025)
PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information
by: Song, Chonggang, et al.
Published: (2024)
by: Song, Chonggang, et al.
Published: (2024)
DELRec: Distilling Sequential Pattern to Enhance LLMs-based Sequential Recommendation
by: Zhang, Haoyi, et al.
Published: (2024)
by: Zhang, Haoyi, et al.
Published: (2024)
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Revisiting the Solution of Meta KDD Cup 2024: CRAG
by: Ouyang, Jie, et al.
Published: (2024)
by: Ouyang, Jie, et al.
Published: (2024)
Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
by: Zou, Jie, et al.
Published: (2024)
by: Zou, Jie, et al.
Published: (2024)
Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
by: Yang, Zhisheng, et al.
Published: (2025)
by: Yang, Zhisheng, et al.
Published: (2025)
Multimodal Enhancement of Sequential Recommendation
by: Sahyouni, Bucher, et al.
Published: (2026)
by: Sahyouni, Bucher, et al.
Published: (2026)
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
by: Ye, Yuyang, et al.
Published: (2024)
by: Ye, Yuyang, et al.
Published: (2024)
EGRA:Toward Enhanced Behavior Graphs and Representation Alignment for Multimodal Recommendation
by: Zhang, Xiaoxiong, et al.
Published: (2025)
by: Zhang, Xiaoxiong, et al.
Published: (2025)
A Gated Hybrid Contrastive Collaborative Filtering Recommendation
by: da Silva, Eduardo Ferreira, et al.
Published: (2026)
by: da Silva, Eduardo Ferreira, et al.
Published: (2026)
Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
by: Zheng, Bowen, et al.
Published: (2024)
by: Zheng, Bowen, et al.
Published: (2024)
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
by: Yu, Shuo, et al.
Published: (2024)
by: Yu, Shuo, et al.
Published: (2024)
TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation
by: Yang, Wei, et al.
Published: (2026)
by: Yang, Wei, et al.
Published: (2026)
Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
by: Qin, Qiyu, et al.
Published: (2026)
by: Qin, Qiyu, et al.
Published: (2026)
BERT and CNN integrated Neural Collaborative Filtering for Recommender Systems
by: Munem, Abdullah Al, et al.
Published: (2025)
by: Munem, Abdullah Al, et al.
Published: (2025)
Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
by: Wang, Yuhao, et al.
Published: (2025)
by: Wang, Yuhao, et al.
Published: (2025)
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
by: Li, Yaoyiran, et al.
Published: (2024)
by: Li, Yaoyiran, et al.
Published: (2024)
Intent-Enhanced Data Augmentation for Sequential Recommendation
by: Chen, Shuai, et al.
Published: (2024)
by: Chen, Shuai, et al.
Published: (2024)
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation
by: Hu, Jiaxi, et al.
Published: (2024)
by: Hu, Jiaxi, et al.
Published: (2024)
Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
by: Wei, Zhifu, et al.
Published: (2026)
by: Wei, Zhifu, et al.
Published: (2026)
Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations
by: Zhang, Wenyu, et al.
Published: (2025)
by: Zhang, Wenyu, et al.
Published: (2025)
Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information
by: Zhang, Xinyu, et al.
Published: (2024)
by: Zhang, Xinyu, et al.
Published: (2024)
When Transformers Meet Recommenders: Integrating Self-Attentive Sequential Recommendation with Fine-Tuned LLMs
by: Liu, Kechen
Published: (2025)
by: Liu, Kechen
Published: (2025)
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
by: Sun, Peijie, et al.
Published: (2024)
by: Sun, Peijie, et al.
Published: (2024)
Learning to Fast Unrank in Collaborative Filtering Recommendation
by: Zhao, Junpeng, et al.
Published: (2025)
by: Zhao, Junpeng, et al.
Published: (2025)
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
by: Shin, Yehjin, et al.
Published: (2025)
by: Shin, Yehjin, et al.
Published: (2025)
SeqUDA-Rec: Sequential User Behavior Enhanced Recommendation via Global Unsupervised Data Augmentation for Personalized Content Marketing
by: Luo, Ruihan, et al.
Published: (2025)
by: Luo, Ruihan, et al.
Published: (2025)
An item is worth one token in Multimodal Large Language Models-based Sequential Recommendation
by: Zhong, Qiyong, et al.
Published: (2025)
by: Zhong, Qiyong, et al.
Published: (2025)
Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
by: Wang, Hui, et al.
Published: (2025)
by: Wang, Hui, et al.
Published: (2025)
Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models
by: Wu, Jiongran, et al.
Published: (2025)
by: Wu, Jiongran, et al.
Published: (2025)
BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation
by: Li, Yupeng, et al.
Published: (2025)
by: Li, Yupeng, et al.
Published: (2025)
Bridging Collaborative Filtering and Large Language Models with Dynamic Alignment, Multimodal Fusion and Evidence-grounded Explanations
by: Ma, Bo, et al.
Published: (2025)
by: Ma, Bo, et al.
Published: (2025)
Slow Thinking for Sequential Recommendation
by: Zhang, Junjie, et al.
Published: (2025)
by: Zhang, Junjie, et al.
Published: (2025)
Large Language Models Enhanced Hyperbolic Space Recommender Systems
by: Cheng, Wentao, et al.
Published: (2025)
by: Cheng, Wentao, et al.
Published: (2025)
Similar Items
-
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation
by: Qin, Qitao, et al.
Published: (2024) -
DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation
by: Qin, Qitao, et al.
Published: (2025) -
Unlocking the Potential of Large Language Models for Explainable Recommendations
by: Luo, Yucong, et al.
Published: (2023) -
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation
by: Qin, Qitao, et al.
Published: (2025) -
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models
by: Lin, Xueting, et al.
Published: (2024)