Cover Image

Trinity: Syncretizing Multi-/Long-tail/Long-term Interests All in One

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Jing, Jiang, Liu, Cui, Jianfei, Zhao, Zhichen, Bin, Xingyan, Zhang, Feng, Liu, Zuotao
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever
by: Bin, Xingyan, et al.
Published: (2025)

Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System
by: Zhu, Yongchun, et al.
Published: (2025)

Interest Clock: Time Perception in Real-Time Streaming Recommendation System
by: Zhu, Yongchun, et al.
Published: (2024)

Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation
by: Gong, Zhen, et al.
Published: (2025)

LSA: A Long-Short-term Aspect Interest Transformer for Aspect-Based Recommendation
by: Liu, Le, et al.
Published: (2026)

SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests
by: Zhou, Wei, et al.
Published: (2026)

UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence
by: Zhang, Hongwei, et al.
Published: (2026)

Time Matters: A Novel Real-Time Long- and Short-term User Interest Model for Click-Through Rate Prediction
by: Gui, Xian-Jin
Published: (2025)

Denoising Long- and Short-term Interests for Sequential Recommendation
by: Zhang, Xinyu, et al.
Published: (2024)

User Long-Term Multi-Interest Retrieval Model for Recommendation
by: Meng, Yue, et al.
Published: (2025)

Not All Candidates are Created Equal: A Heterogeneity-Aware Approach to Pre-ranking in Recommender Systems
by: Tong, Pengfei, et al.
Published: (2026)

Generative Long-term User Interest Modeling for Click-Through Rate Prediction
by: Shao, Jiangli, et al.
Published: (2026)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
by: Liu, Ziru, et al.
Published: (2024)

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness
by: Zhao, Yuying, et al.
Published: (2024)

DualGR: Generative Retrieval with Long and Short-Term Interests Modeling
by: Yi, Zhongchao, et al.
Published: (2025)

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)

Dynamic User Interest Augmentation via Stream Clustering and Memory Networks in Large-Scale Recommender Systems
by: Liu, Peng, 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)

From Head to Tail: Asymmetric Knowledge Transfer in Long-tail Recommendation with Generative Semantic IDs
by: Yan, Chenyi, et al.
Published: (2026)

On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
by: Li, Dongyang, et al.
Published: (2024)

Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction
by: Wu, Yi, et al.
Published: (2024)

Long-Sequence Recommendation Models Need Decoupled Embeddings
by: Feng, Ningya, et al.
Published: (2024)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems
by: Liu, Langming, et al.
Published: (2024)

Make It Long, Keep It Fast: End-to-End 10K Long User Behavior Sequence Modeling for Billion-Scale Douyin Recommendation
by: Guan, Lin, et al.
Published: (2025)

Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling
by: Xu, Shuo, et al.
Published: (2024)

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search
by: Ling, Gui, et al.
Published: (2026)

Large Language Model based Long-tail Query Rewriting in Taobao Search
by: Peng, Wenjun, et al.
Published: (2023)

Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems
by: Xiang, Zhichen, et al.
Published: (2024)

Asymmetric Diffusion Recommendation Model
by: Zhu, Yongchun, et al.
Published: (2025)

GLoCIM: Global-view Long Chain Interest Modeling for news recommendation
by: Yang, Zhen, et al.
Published: (2024)

Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
by: Lai, Weijiang, et al.
Published: (2025)

Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
by: Yuan, Xu, et al.
Published: (2022)

Temporal Interest Network for User Response Prediction
by: Zhou, Haolin, et al.
Published: (2023)

Efficient Sequential Recommendation for Long Term User Interest Via Personalization
by: Zhang, Qiang, et al.
Published: (2026)

Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
by: Xiao, Zhibo, et al.
Published: (2024)

TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations
by: Wu, Jianfei, et al.
Published: (2025)

Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines
by: Gao, Chen, et al.
Published: (2025)

Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
by: Zhang, Jiaming, et al.
Published: (2026)

GemiRec: Interest Quantization and Generation for Multi-Interest Recommendation
by: Wu, Zhibo, et al.
Published: (2025)

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms
by: Zhao, Yushang, et al.
Published: (2025)