Cover Image

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Jiyuan, Li, Yuanzi, Zhao, Jingyu, Wang, Hanbing, Ma, Muyang, Ma, Jun, Ren, Zhaochun, Zhang, Mengqi, Xin, Xin, Chen, Zhumin, Ren, Pengjie
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
by: Zhao, Ziqi, et al.
Published: (2025)

Constrained Auto-Regressive Decoding Constrains Generative Retrieval
by: Wu, Shiguang, et al.
Published: (2025)

SA-CAISR: Stage-Adaptive and Conflict-Aware Incremental Sequential Recommendation
by: Song, Xiaomeng, et al.
Published: (2026)

Content-Based Collaborative Generation for Recommender Systems
by: Wang, Yidan, et al.
Published: (2024)

Generative News Recommendation
by: Gao, Shen, et al.
Published: (2024)

Curriculum Approximate Unlearning for Session-based Recommendation
by: Yang, Liu, et al.
Published: (2025)

Generative Retrieval as Multi-Vector Dense Retrieval
by: Wu, Shiguang, et al.
Published: (2024)

ExcluIR: Exclusionary Neural Information Retrieval
by: Zhang, Wenhao, et al.
Published: (2024)

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
by: Shi, Zhengliang, et al.
Published: (2024)

Privacy-Preserving Sequential Recommendation with Collaborative Confusion
by: Wang, Wei, et al.
Published: (2024)

Cold-Starts in Generative Recommendation: A Reproducibility Study
by: Zhang, Zhen, et al.
Published: (2026)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
by: Sun, Weiwei, et al.
Published: (2023)

Replication and Exploration of Generative Retrieval over Dynamic Corpora
by: Zhang, Zhen, et al.
Published: (2025)

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation
by: Guo, Lei, et al.
Published: (2026)

DiffuGR: Generative Document Retrieval with Diffusion Language Models
by: Zhao, Xinpeng, et al.
Published: (2025)

Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
by: Li, Yuanzi, et al.
Published: (2026)

A Multi-Agent Conversational Recommender System
by: Fang, Jiabao, et al.
Published: (2024)

Model Editing for New Document Integration in Generative Information Retrieval
by: Zhang, Zhen, et al.
Published: (2026)

Towards Empathetic Conversational Recommender Systems
by: Zhang, Xiaoyu, et al.
Published: (2024)

Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
by: Wang, Wei, et al.
Published: (2025)

Integrating Chain-of-Thought into Generative Retrieval: A Preliminary Study
by: Zhang, Wenhao, et al.
Published: (2026)

Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
by: Shi, Zhengliang, et al.
Published: (2025)

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
by: Zhao, Jujia, et al.
Published: (2026)

R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation
by: Wang, Zihan, et al.
Published: (2024)

A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
by: Wang, Zihan, et al.
Published: (2025)

Disentangling ID and Modality Effects for Session-based Recommendation
by: Zhang, Xiaokun, et al.
Published: (2024)

Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
by: Dang, Yizhou, et al.
Published: (2026)

Plug-in Diffusion Model for Sequential Recommendation
by: Ma, Haokai, et al.
Published: (2024)

Unifying Search and Recommendation with Dual-View Representation Learning in a Generative Paradigm
by: Zhao, Jujia, et al.
Published: (2025)

Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
by: Liu, Chengkai, et al.
Published: (2024)

Have We Really Understood Collaborative Information? An Empirical Investigation
by: Zhang, Xiaokun, et al.
Published: (2025)

Rethinking Large Language Model Architectures for Sequential Recommendations
by: Wang, Hanbing, et al.
Published: (2024)

What are the limits of cross-lingual dense passage retrieval for low-resource languages?
by: Wu, Jie, et al.
Published: (2024)

An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
by: Han, Haoyu, et al.
Published: (2026)

Answer Retrieval in Legal Community Question Answering
by: Askari, Arian, et al.
Published: (2024)

Differentiable Semantic ID for Generative Recommendation
by: Fu, Junchen, et al.
Published: (2026)

LARES: Latent Reasoning for Sequential Recommendation
by: Liu, Enze, et al.
Published: (2025)

Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
by: Shi, Zhengliang, et al.
Published: (2025)

Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
by: Liu, Enze, et al.
Published: (2025)

Pattern-wise Transparent Sequential Recommendation
by: Ma, Kun, et al.
Published: (2024)