Imagen de Portada

ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Kun, Zhu, Yuxuan, Chen, Yazhe, Zheng, Siyao, Hong, Bangyang, Wu, Kangle, Ni, Yabo, Zeng, Anxiang, Fu, Cong, Li, Hui
Formato:	Preprint
Publicado:	2026
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
por: Dai, Sunhao, et al.
Publicado: (2025)

Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering
por: Zhang, Zhongjin, et al.
Publicado: (2025)

Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
por: Liang, Yu, et al.
Publicado: (2026)

Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search
por: Chen, Tingyang, et al.
Publicado: (2025)

Residual Multi-Task Learner for Applied Ranking
por: Fu, Cong, et al.
Publicado: (2024)

Parallel Latent Reasoning for Sequential Recommendation
por: Tang, Jiakai, et al.
Publicado: (2026)

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

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

DiffuReason: Bridging Latent Reasoning and Generative Refinement for Sequential Recommendation
por: Jiang, Jie, et al.
Publicado: (2026)

Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views
por: Chen, Tingyang, et al.
Publicado: (2025)

GENPLUGIN: A Plug-and-Play Framework for Long-Tail Generative Recommendation with Exposure Bias Mitigation
por: Yang, Kun, et al.
Publicado: (2025)

DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation
por: Cheng, Jiawei, et al.
Publicado: (2026)

A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems
por: Zhu, Yuxuan, et al.
Publicado: (2025)

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
por: Tang, Jiakai, et al.
Publicado: (2025)

Retrieval-Augmented Recommendation Explanation Generation with Hierarchical Aggregation
por: Sun, Bangcheng, et al.
Publicado: (2025)

Factorized Latent Reasoning for LLM-based Recommendation
por: Gao, Tianqi, et al.
Publicado: (2026)

LASAR: Latent Adaptive Semantic Aligned Reasoning for Generative Recommendation
por: Chen, Yiwen, et al.
Publicado: (2026)

Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders
por: Chai, Zheng, et al.
Publicado: (2025)

Intent-Guided Reasoning for Sequential Recommendation
por: Shao, Yifan, et al.
Publicado: (2025)

Beyond One-Size-Fits-All: Adaptive Test-Time Augmentation for Sequential Recommendation
por: Li, Xibo, et al.
Publicado: (2026)

Sequential Recommendation with Latent Relations based on Large Language Model
por: Yang, Shenghao, et al.
Publicado: (2024)

AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation
por: Zhang, Kaike, et al.
Publicado: (2025)

DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation
por: Shao, Yifan, et al.
Publicado: (2025)

Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation
por: Xu, Huayang, et al.
Publicado: (2025)

Frequency-aware Adaptive Contrastive Learning for Sequential Recommendation
por: Wang, Zhikai, et al.
Publicado: (2026)

MLLMRec-R1: Incentivizing Reasoning Capability in Large Language Models for Multimodal Sequential Recommendation
por: Wang, Yu, et al.
Publicado: (2026)

Modeling User Fatigue for Sequential Recommendation
por: Li, Nian, et al.
Publicado: (2024)

Time-Aware Adaptive Side Information Fusion for Sequential Recommendation
por: Luo, Jie, et al.
Publicado: (2025)

MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation
por: Baek, Ilwoong, et al.
Publicado: (2025)

Bridging Search and Recommendation through Latent Cross Reasoning
por: Shi, Teng, et al.
Publicado: (2025)

MIMNet: Multi-Interest Meta Network with Multi-Granularity Target-Guided Attention for Cross-domain Recommendation
por: Zhu, Xiaofei, et al.
Publicado: (2024)

Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation
por: Zhang, Changshuo, et al.
Publicado: (2025)

Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
por: Wang, Yu, et al.
Publicado: (2025)

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

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders
por: Xu, Cong, et al.
Publicado: (2024)

An Empirical Study of Training ID-Agnostic Multi-modal Sequential Recommenders
por: Li, Youhua, et al.
Publicado: (2024)

Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
por: Dang, Yizhou, et al.
Publicado: (2025)

Harnessing Large Language Models for Text-Rich Sequential Recommendation
por: Zheng, Zhi, et al.
Publicado: (2024)

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
por: Li, Kaiyuan, et al.
Publicado: (2025)

From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation
por: Yang, Ruochen, et al.
Publicado: (2026)