Bridging Sequential and Contextual Features with a Dual-View of Fine-grained Core-Behaviors and Global Interest-Distribution
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Yi, Fan, Chaofan, Zhang, Moyu, Hu, Jinxin, Wang, Jiahao, Zhang, Hao, Wang, Shizhun, Zhang, Yu, Zeng, Xiaoyi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deferred is Better: A Framework for Multi-Granularity Deferred Interaction of Heterogeneous Features
by: Xu, Yi, et al.
Published: (2026)
by: Xu, Yi, et al.
Published: (2026)
Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
by: Hu, Jinxin, et al.
Published: (2026)
by: Hu, Jinxin, et al.
Published: (2026)
AgenticRS-Architecture: System Design for Agentic Recommender Systems
by: Zhang, Hao, et al.
Published: (2026)
by: Zhang, Hao, et al.
Published: (2026)
Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
Taming the Long Tail: Denoising Collaborative Information for Robust Semantic ID Generation
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
by: Zhang, Moyu, et al.
Published: (2024)
by: Zhang, Moyu, et al.
Published: (2024)
Selective Test-Time Compute Scaling for Click-Through Rate Prediction via Uncertainty-Triggered Feature Path Exploration
by: Zhang, Moyu, et al.
Published: (2026)
by: Zhang, Moyu, et al.
Published: (2026)
Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
by: Xing, Haibo, et al.
Published: (2025)
by: Xing, Haibo, et al.
Published: (2025)
STORE: Semantic Tokenization, Orthogonal Rotation and Efficient Attention for Scaling Up Ranking Models
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval
by: Deng, Hao, et al.
Published: (2025)
by: Deng, Hao, et al.
Published: (2025)
MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
SORT: A Systematically Optimized Ranking Transformer for Industrial-scale Recommenders
by: Wang, Chunqi, et al.
Published: (2026)
by: Wang, Chunqi, et al.
Published: (2026)
Synergistic Integration and Discrepancy Resolution of Contextualized Knowledge for Personalized Recommendation
by: Mu, Lingyu, et al.
Published: (2025)
by: Mu, Lingyu, et al.
Published: (2025)
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction
by: Song, Xin, et al.
Published: (2025)
by: Song, Xin, et al.
Published: (2025)
FineRec:Exploring Fine-grained Sequential Recommendation
by: Zhang, Xiaokun, et al.
Published: (2024)
by: Zhang, Xiaokun, et al.
Published: (2024)
Learning to Reflect and Correct: Towards Better Decoding Trajectories for Large-Scale Generative Recommendation
by: Xing, Haibo, et al.
Published: (2026)
by: Xing, Haibo, et al.
Published: (2026)
Masked Diffusion Generative Recommendation
by: Mu, Lingyu, et al.
Published: (2026)
by: Mu, Lingyu, et al.
Published: (2026)
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation
by: Deng, Hao, et al.
Published: (2025)
by: Deng, Hao, et al.
Published: (2025)
Efficient Sequential Recommendation for Long Term User Interest Via Personalization
by: Zhang, Qiang, et al.
Published: (2026)
by: Zhang, Qiang, et al.
Published: (2026)
Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation
by: Gong, Zhen, et al.
Published: (2025)
by: Gong, Zhen, et al.
Published: (2025)
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
by: Xing, Haibo, et al.
Published: (2025)
by: Xing, Haibo, et al.
Published: (2025)
Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation
by: Zhang, Changshuo, et al.
Published: (2025)
by: Zhang, Changshuo, et al.
Published: (2025)
Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
by: Qin, Zhida, et al.
Published: (2026)
by: Qin, Zhida, et al.
Published: (2026)
Denoising Long- and Short-term Interests for Sequential Recommendation
by: Zhang, Xinyu, et al.
Published: (2024)
by: Zhang, Xinyu, et al.
Published: (2024)
RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
by: Huang, Yulei, et al.
Published: (2026)
by: Huang, Yulei, et al.
Published: (2026)
Look into the Future: Deep Contextualized Sequential Recommendation
by: Zheng, Lei, et al.
Published: (2024)
by: Zheng, Lei, et al.
Published: (2024)
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
by: Zhang, Hao, et al.
Published: (2023)
by: Zhang, Hao, et al.
Published: (2023)
LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling
by: Jiang, Junzhe, et al.
Published: (2023)
by: Jiang, Junzhe, et al.
Published: (2023)
GLoCIM: Global-view Long Chain Interest Modeling for news recommendation
by: Yang, Zhen, et al.
Published: (2024)
by: Yang, Zhen, et al.
Published: (2024)
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
by: Xu, Xiang, et al.
Published: (2024)
by: Xu, Xiang, et al.
Published: (2024)
Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
Brownian Bridge Diffusion for Sequential Recommendation
by: Bai, Yimeng, et al.
Published: (2025)
by: Bai, Yimeng, et al.
Published: (2025)
Distribution-Aware End-to-End Embedding for Streaming Numerical Features in Click-Through Rate Prediction
by: Liu, Jiahao, et al.
Published: (2026)
by: Liu, Jiahao, et al.
Published: (2026)
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)
DualView: Adaptive Local-Global Fusion for Multi-Hop Document Reranking
by: Zhang, Litong, et al.
Published: (2026)
by: Zhang, Litong, et al.
Published: (2026)
Similar Items
-
Deferred is Better: A Framework for Multi-Granularity Deferred Interaction of Heterogeneous Features
by: Xu, Yi, et al.
Published: (2026) -
Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
by: Hu, Jinxin, et al.
Published: (2026) -
AgenticRS-Architecture: System Design for Agentic Recommender Systems
by: Zhang, Hao, et al.
Published: (2026) -
Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion
by: Zhang, Moyu, et al.
Published: (2025) -
Taming the Long Tail: Denoising Collaborative Information for Robust Semantic ID Generation
by: Xu, Yi, et al.
Published: (2025)