HiSAC: Hierarchical Sparse Activation Compression for Ultra-long Sequence Modeling in Recommenders
Fuente:
arXiv
Saved in:
| Main Authors: | Yuan, Kun, Bi, Junyu, Cheng, Daixuan, Wu, Changfa, Xiao, Shuwen, Cao, Binbin, Wu, Jian, Jiang, Yuning |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generative Pseudo-Labeling for Pre-Ranking with LLMs
by: Bi, Junyu, et al.
Published: (2026)
by: Bi, Junyu, et al.
Published: (2026)
RankGR: Rank-Enhanced Generative Retrieval with Listwise Direct Preference Optimization in Recommendation
by: Fu, Kairui, et al.
Published: (2026)
by: Fu, Kairui, et al.
Published: (2026)
CoNRec: Context-Discerning Negative Recommendation with LLMs
by: Chen, Xinda, et al.
Published: (2026)
by: Chen, Xinda, et al.
Published: (2026)
LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation
by: Ren, Qin, et al.
Published: (2025)
by: Ren, Qin, et al.
Published: (2025)
TBGRecall: A Generative Retrieval Model for E-commerce Recommendation Scenarios
by: Liang, Zida, et al.
Published: (2025)
by: Liang, Zida, et al.
Published: (2025)
Accelerating Generative Recommendation via Simple Categorical User Sequence Compression
by: Liu, Qijiong, et al.
Published: (2026)
by: Liu, Qijiong, et al.
Published: (2026)
SaviorRec: Semantic-Behavior Alignment for Cold-Start Recommendation
by: Yao, Yining, et al.
Published: (2025)
by: Yao, Yining, et al.
Published: (2025)
HiSAC: High-Resolution Sensing with Multiband Communication Signals
by: Pegoraro, Jacopo, et al.
Published: (2024)
by: Pegoraro, Jacopo, et al.
Published: (2024)
Parallel Latent Reasoning for Sequential Recommendation
by: Tang, Jiakai, et al.
Published: (2026)
by: Tang, Jiakai, et al.
Published: (2026)
MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation
by: Yu, Qihang, et al.
Published: (2026)
by: Yu, Qihang, et al.
Published: (2026)
Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search
by: Wu, Yanjing, et al.
Published: (2024)
by: Wu, Yanjing, et al.
Published: (2024)
HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction
by: Zhou, Jie, et al.
Published: (2023)
by: Zhou, Jie, et al.
Published: (2023)
HiGR: Efficient Generative Slate Recommendation via Hierarchical Planning and Multi-Objective Preference Alignment
by: Pang, Yunsheng, et al.
Published: (2025)
by: Pang, Yunsheng, et al.
Published: (2025)
IAT: Instance-As-Token Compression for Historical User Sequence Modeling in Industrial Recommender Systems
by: Li, Xinchun, et al.
Published: (2026)
by: Li, Xinchun, et al.
Published: (2026)
HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs
by: Fang, Dengzhao, et al.
Published: (2025)
by: Fang, Dengzhao, et al.
Published: (2025)
MSN: A Memory-based Sparse Activation Scaling Framework for Large-scale Industrial Recommendation
by: Wu, Shikang, et al.
Published: (2026)
by: Wu, Shikang, et al.
Published: (2026)
Multimodal Fusion And Sparse Attention-based Alignment Model for Long Sequential Recommendation
by: Fu, Yongrui, et al.
Published: (2025)
by: Fu, Yongrui, et al.
Published: (2025)
Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao
by: Ma, Yingcai, et al.
Published: (2024)
by: Ma, Yingcai, et al.
Published: (2024)
Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation
by: Pan, Pingjun, et al.
Published: (2026)
by: Pan, Pingjun, et al.
Published: (2026)
Middleman Bias in Advertising: Aligning Relevance of Keyphrase Recommendations with Search
by: Dey, Soumik, et al.
Published: (2025)
by: Dey, Soumik, et al.
Published: (2025)
The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems
by: Kasalický, Petr, et al.
Published: (2025)
by: Kasalický, Petr, et al.
Published: (2025)
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
by: Tang, Jiakai, et al.
Published: (2025)
by: Tang, Jiakai, et al.
Published: (2025)
TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems
by: Yu, Jiahao, et al.
Published: (2025)
by: Yu, Jiahao, et al.
Published: (2025)
Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations
by: Chen, Zerui, et al.
Published: (2026)
by: Chen, Zerui, et al.
Published: (2026)
Understanding the Ranking Loss for Recommendation with Sparse User Feedback
by: Lin, Zhutian, et al.
Published: (2024)
by: Lin, Zhutian, et al.
Published: (2024)
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
by: Qiu, Zexuan, et al.
Published: (2024)
by: Qiu, Zexuan, et al.
Published: (2024)
Compress, Cross and Scale: Multi-Level Compression Cross Networks for Efficient Scaling in Recommender Systems
by: Yu, Heng, et al.
Published: (2026)
by: Yu, Heng, et al.
Published: (2026)
Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
by: Dang, Yizhou, et al.
Published: (2026)
by: Dang, Yizhou, et al.
Published: (2026)
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
by: Chai, Zheng, et al.
Published: (2025)
by: Chai, Zheng, et al.
Published: (2025)
Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
by: Xi, Yunjia, et al.
Published: (2025)
by: Xi, Yunjia, et al.
Published: (2025)
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
by: Wang, Shuyao, et al.
Published: (2024)
by: Wang, Shuyao, et al.
Published: (2024)
LLM-Alignment Live-Streaming Recommendation
by: Liu, Yueyang, et al.
Published: (2025)
by: Liu, Yueyang, et al.
Published: (2025)
RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation
by: Pei, Haolei, et al.
Published: (2024)
by: Pei, Haolei, et al.
Published: (2024)
Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
by: Jiang, Runhao, et al.
Published: (2026)
by: Jiang, Runhao, et al.
Published: (2026)
RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
by: Zhang, Bin, et al.
Published: (2026)
by: Zhang, Bin, et al.
Published: (2026)
An Efficient LLM-based Evolutional Recommendation with Locate-Forget-Update Paradigm
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
Enhancing News Recommendation with Hierarchical LLM Prompting
by: Kieu, Hai-Dang, et al.
Published: (2025)
by: Kieu, Hai-Dang, et al.
Published: (2025)
Proactive Recommendation in Social Networks: Steering User Interest with Causal Inference
by: Pan, Hang, et al.
Published: (2024)
by: Pan, Hang, et al.
Published: (2024)
QARM V2: Quantitative Alignment Multi-Modal Recommendation for Reasoning User Sequence Modeling
by: Xia, Tian, et al.
Published: (2026)
by: Xia, Tian, et al.
Published: (2026)
GEMs: Breaking the Long-Sequence Barrier in Generative Recommendation with a Multi-Stream Decoder
by: Zhou, Yu, et al.
Published: (2026)
by: Zhou, Yu, et al.
Published: (2026)
Similar Items
-
Generative Pseudo-Labeling for Pre-Ranking with LLMs
by: Bi, Junyu, et al.
Published: (2026) -
RankGR: Rank-Enhanced Generative Retrieval with Listwise Direct Preference Optimization in Recommendation
by: Fu, Kairui, et al.
Published: (2026) -
CoNRec: Context-Discerning Negative Recommendation with LLMs
by: Chen, Xinda, et al.
Published: (2026) -
LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation
by: Ren, Qin, et al.
Published: (2025) -
TBGRecall: A Generative Retrieval Model for E-commerce Recommendation Scenarios
by: Liang, Zida, et al.
Published: (2025)