Why not Collaborative Filtering in Dual View? Bridging Sparse and Dense Models
Fuente:
arXiv
Saved in:
| Main Authors: | Guo, Hanze, Lian, Jianxun, Zhou, Xiao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems
by: Zhou, Xiao, et al.
Published: (2025)
by: Zhou, Xiao, et al.
Published: (2025)
HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships
by: Zhang, Xiangxu, et al.
Published: (2026)
by: Zhang, Xiangxu, et al.
Published: (2026)
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
by: Lei, Yuxuan, et al.
Published: (2023)
by: Lei, Yuxuan, et al.
Published: (2023)
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
by: Huang, Xu, et al.
Published: (2023)
by: Huang, Xu, et al.
Published: (2023)
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
by: Yang, Yuhao, et al.
Published: (2025)
by: Yang, Yuhao, et al.
Published: (2025)
Eliminating Out-of-Domain Recommendations in LLM-based Recommender Systems: A Unified View
by: Liao, Hao, et al.
Published: (2025)
by: Liao, Hao, et al.
Published: (2025)
Disentangled Contrastive Collaborative Filtering
by: Ren, Xubin, et al.
Published: (2023)
by: Ren, Xubin, et al.
Published: (2023)
Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
by: Yang, Zhisheng, et al.
Published: (2025)
by: Yang, Zhisheng, 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)
Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Models
by: Yang, Haowei, et al.
Published: (2024)
by: Yang, Haowei, et al.
Published: (2024)
Unbiased Collaborative Filtering with Fair Sampling
by: Liu, Jiahao, et al.
Published: (2025)
by: Liu, Jiahao, et al.
Published: (2025)
MixRec: Heterogeneous Graph Collaborative Filtering
by: Xia, Lianghao, et al.
Published: (2024)
by: Xia, Lianghao, et al.
Published: (2024)
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)
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)
Diffusion-augmented Graph Contrastive Learning for Collaborative Filter
by: Huang, Fan, et al.
Published: (2025)
by: Huang, Fan, et al.
Published: (2025)
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
by: Sun, Peijie, et al.
Published: (2024)
by: Sun, Peijie, et al.
Published: (2024)
Aligning Large Language Models for Controllable Recommendations
by: Lu, Wensheng, et al.
Published: (2024)
by: Lu, Wensheng, et al.
Published: (2024)
SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering
by: Yang, Xiaodong, et al.
Published: (2024)
by: Yang, Xiaodong, et al.
Published: (2024)
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)
L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation
by: Pan, Pingjun, et al.
Published: (2026)
by: Pan, Pingjun, et al.
Published: (2026)
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
by: Kim, Sein, et al.
Published: (2024)
by: Kim, Sein, et al.
Published: (2024)
LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering
by: Severin, Nikita, et al.
Published: (2024)
by: Severin, Nikita, et al.
Published: (2024)
Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition
by: Liu, Lingfeng, et al.
Published: (2025)
by: Liu, Lingfeng, et al.
Published: (2025)
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
by: Luo, Yucong, et al.
Published: (2024)
by: Luo, Yucong, et al.
Published: (2024)
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems
by: Lian, Jianxun, et al.
Published: (2024)
by: Lian, Jianxun, et al.
Published: (2024)
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
by: Anelli, Vito Walter, et al.
Published: (2023)
by: Anelli, Vito Walter, et al.
Published: (2023)
Towards Unified and Adaptive Cross-Domain Collaborative Filtering via Graph Signal Processing
by: Lee, Jeongeun, et al.
Published: (2024)
by: Lee, Jeongeun, et al.
Published: (2024)
When SparseMoE Meets Noisy Interactions: An Ensemble View on Denoising Recommendation
by: Chen, Weipu, et al.
Published: (2024)
by: Chen, Weipu, et al.
Published: (2024)
Efficient Evaluation of Large Language Models via Collaborative Filtering
by: Zhong, Xu-Xiang, et al.
Published: (2025)
by: Zhong, Xu-Xiang, et al.
Published: (2025)
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
DualView: Adaptive Local-Global Fusion for Multi-Hop Document Reranking
by: Zhang, Litong, et al.
Published: (2026)
by: Zhang, Litong, et al.
Published: (2026)
SVD-AE: Simple Autoencoders for Collaborative Filtering
by: Hong, Seoyoung, et al.
Published: (2024)
by: Hong, Seoyoung, 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)
Bridging Conversational and Collaborative Signals for Conversational Recommendation
by: Rabiah, Ahmad Bin, et al.
Published: (2024)
by: Rabiah, Ahmad Bin, et al.
Published: (2024)
Xetrieval: Mechanistically Explaining Dense Retrieval
by: Cai, Zhixin, et al.
Published: (2026)
by: Cai, Zhixin, et al.
Published: (2026)
Investigating Mixture of Experts in Dense Retrieval
by: Sokli, Effrosyni, et al.
Published: (2024)
by: Sokli, Effrosyni, et al.
Published: (2024)
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
by: Hu, Zheng, et al.
Published: (2024)
by: Hu, Zheng, et al.
Published: (2024)
Trove: A Flexible Toolkit for Dense Retrieval
by: Esfandiarpoor, Reza, et al.
Published: (2025)
by: Esfandiarpoor, Reza, et al.
Published: (2025)
Interpretability Analysis of Domain Adapted Dense Retrievers
by: Yuksel, Goksenin, et al.
Published: (2025)
by: Yuksel, Goksenin, et al.
Published: (2025)
Similar Items
-
Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems
by: Zhou, Xiao, et al.
Published: (2025) -
HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships
by: Zhang, Xiangxu, et al.
Published: (2026) -
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
by: Li, Lei, et al.
Published: (2024) -
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
by: Lei, Yuxuan, et al.
Published: (2023) -
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
by: Huang, Xu, et al.
Published: (2023)