Cover Image

OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zhaoqi, Pei, Haolei, Guo, Jun, Wang, Tianyu, Feng, Yufei, Sun, Hui, Liu, Shaowei, Sun, Aixin
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OneRanker: Unified Generation and Ranking with One Model in Industrial Advertising Recommendation
by: Sun, Dekai, et al.
Published: (2026)

A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives
by: Zou, Kuan, et al.
Published: (2025)

A Task-Centric Perspective on Recommendation Systems
by: Sun, Aixin
Published: (2025)

Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems
by: Sun, Aixin
Published: (2024)

Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
by: Zou, Jie, et al.
Published: (2024)

RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation
by: Pei, Haolei, et al.
Published: (2024)

Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations
by: Li, Jiayu, et al.
Published: (2024)

FuXi-$α$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
by: Ye, Yufei, et al.
Published: (2025)

Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias
by: Dong, Lulu, et al.
Published: (2024)

LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
by: Chai, Zheng, et al.
Published: (2025)

Unified Value Alignment for Generative Recommendation in Industrial Advertising
by: Zhang, Xinxun, et al.
Published: (2026)

Scaling Recommender Transformers to One Billion Parameters
by: Khrylchenko, Kirill, et al.
Published: (2025)

Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model
by: Zhang, Luankang, et al.
Published: (2025)

OneLive: Dynamically Unified Generative Framework for Live-Streaming Recommendation
by: Wang, Shen, et al.
Published: (2026)

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

RecNextEval: A Reference Implementation for Temporal Next-Batch Recommendation Evaluation
by: Ng, Tze-Kean, et al.
Published: (2026)

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
by: Wei, Shaowei, et al.
Published: (2024)

Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions
by: Zhou, Hongyu, et al.
Published: (2025)

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
by: Tang, Zuoli, et al.
Published: (2023)

SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation
by: Cui, Yu, et al.
Published: (2026)

OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
by: Deng, Jiaxin, et al.
Published: (2025)

One Backpropagation in Two Tower Recommendation Models
by: Chen, Erjia, et al.
Published: (2024)

Hesitation and Tolerance in Recommender Systems
by: Zou, Kuan, et al.
Published: (2024)

GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
by: Zhang, Jun, et al.
Published: (2025)

Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
by: Dang, Yizhou, et al.
Published: (2026)

TransTARec: Time-Adaptive Translating Embedding Model for Next POI Recommendation
by: Sun, Yiping
Published: (2024)

DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation
by: Bi, Yaowen, et al.
Published: (2024)

OneMall: One Architecture, More Scenarios -- End-to-End Generative Recommender Family at Kuaishou E-Commerce
by: Zhang, Kun, et al.
Published: (2026)

IAT: Instance-As-Token Compression for Historical User Sequence Modeling in Industrial Recommender Systems
by: Li, Xinchun, et al.
Published: (2026)

MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders
by: Huang, Xu, et al.
Published: (2026)

OneRec-Think: In-Text Reasoning for Generative Recommendation
by: Liu, Zhanyu, et al.
Published: (2025)

The Crowd in MOOCs: A Study of Learning Patterns at Scale
by: Zhou, Xin, et al.
Published: (2024)

QP-OneModel: A Unified Generative LLM for Multi-Task Query Understanding in Xiaohongshu Search
by: Huang, Jianzhao, et al.
Published: (2026)

UMRE: A Unified Monotonic Transformation for Ranking Ensemble in Recommender Systems
by: Xu, Zhengrui, et al.
Published: (2025)

TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation
by: Xia, Xue, et al.
Published: (2025)

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion
by: Guo, Xian, et al.
Published: (2025)

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation
by: Zhang, Yuting, et al.
Published: (2024)

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
by: Zhang, Jintian, et al.
Published: (2024)

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
by: Wang, Hao, et al.
Published: (2025)

HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction
by: Huang, Yunwen, et al.
Published: (2026)