Interest Clock: Time Perception in Real-Time Streaming Recommendation System

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhu, Yongchun, Chen, Jingwu, Chen, Ling, Li, Yitan, Zhang, Feng, Liu, Zuotao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System
di: Zhu, Yongchun, et al.
Pubblicazione: (2025)

Asymmetric Diffusion Recommendation Model
di: Zhu, Yongchun, et al.
Pubblicazione: (2025)

Bridging Passive and Active: Enhancing Conversation Starter Recommendation via Active Expression Modeling
di: Wu, Yiqing, et al.
Pubblicazione: (2026)

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

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

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

Interest Changes: Considering User Interest Life Cycle in Recommendation System
di: Cai, Yinjiang, et al.
Pubblicazione: (2025)

Trinity: Syncretizing Multi-/Long-tail/Long-term Interests All in One
di: Yan, Jing, et al.
Pubblicazione: (2024)

Multi-Interest Recommendation: A Survey
di: Li, Zihao, et al.
Pubblicazione: (2025)

Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou
di: Cao, Jiangxia, et al.
Pubblicazione: (2024)

Capturing User Interests from Data Streams for Continual Sequential Recommendation
di: Lee, Gyuseok, et al.
Pubblicazione: (2025)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
di: Bao, Keqin, et al.
Pubblicazione: (2024)

LFG: A Generative Network for Real-Time Recommendation
di: Liu, Junyi
Pubblicazione: (2023)

Diffusion Model for Interest Refinement in Multi-Interest Recommendation
di: Le, Yankun, et al.
Pubblicazione: (2025)

Treatment Effect Estimation for User Interest Exploration on Recommender Systems
di: Chen, Jiaju, et al.
Pubblicazione: (2024)

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

Next-User Retrieval: Enhancing Cold-Start Recommendations via Generative Next-User Modeling
di: Lan, Yu-Ting, et al.
Pubblicazione: (2025)

Dynamic User Interest Augmentation via Stream Clustering and Memory Networks in Large-Scale Recommender Systems
di: Liu, Peng, et al.
Pubblicazione: (2024)

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

Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
di: He, Zhiyu, et al.
Pubblicazione: (2025)

Personalized Prompt for Sequential Recommendation
di: Wu, Yiqing, et al.
Pubblicazione: (2022)

LLMs for User Interest Exploration in Large-scale Recommendation Systems
di: Wang, Jianling, et al.
Pubblicazione: (2024)

Modeling the Heterogeneous Duration of User Interest in Time-Dependent Recommendation: A Hidden Semi-Markov Approach
di: Zhang, Haidong, et al.
Pubblicazione: (2024)

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation
di: Wang, Ziyan, et al.
Pubblicazione: (2025)

LLM-Alignment Live-Streaming Recommendation
di: Liu, Yueyang, et al.
Pubblicazione: (2025)

Proactive Recommendation in Social Networks: Steering User Interest with Causal Inference
di: Pan, Hang, et al.
Pubblicazione: (2024)

A Real-Time Adaptive Multi-Stream GPU System for Online Approximate Nearest Neighborhood Search
di: Sun, Yiping, et al.
Pubblicazione: (2024)

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

Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)
di: Zhan, Tianyu, et al.
Pubblicazione: (2024)

ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling
di: Luo, Huishi, et al.
Pubblicazione: (2025)

EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation
di: Huang, Lei, et al.
Pubblicazione: (2024)

Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users
di: Li, Xiaodong, et al.
Pubblicazione: (2026)

Foresight Prediction Enhanced Live-Streaming Recommendation
di: Cao, Jiangxia, et al.
Pubblicazione: (2025)

Filtering with Time-frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform
di: Lu, Sheng, et al.
Pubblicazione: (2025)

RankMixer: Scaling Up Ranking Models in Industrial Recommenders
di: Zhu, Jie, et al.
Pubblicazione: (2025)

Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs
di: Zhu, Xiaofei, et al.
Pubblicazione: (2026)

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

Towards Automated Model Design on Recommender Systems
di: Zhang, Tunhou, et al.
Pubblicazione: (2024)

Multimodal Point-of-Interest Recommendation
di: Kanzawa, Yuta, et al.
Pubblicazione: (2024)