DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Bi, Yaowen, Lian, Yuteng, Cui, Jie, Liu, Jun, Wang, Peijian, Li, Guanghui, Chen, Xuejun, Zhao, Jinglin, Wen, Hao, Zhang, Jing, Zhang, Zhaoqi, Song, Wenzhuo, Sun, Yang, Zhang, Weiwei, Cai, Mingchen, Dong, Jian, Zhang, Guanxing |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
UniRec: Bridging the Expressive Gap between Generative and Discriminative Recommendation via Chain-of-Attribute
by: Wang, Ziliang, et al.
Published: (2026)
by: Wang, Ziliang, et al.
Published: (2026)
OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
by: Zhang, Zhaoqi, et al.
Published: (2025)
by: Zhang, Zhaoqi, et al.
Published: (2025)
Decoupled Residual Quantization for Robust Semantic IDs in Recommendation
by: Wang, Xuesi, et al.
Published: (2026)
by: Wang, Xuesi, et al.
Published: (2026)
Paragon: Parameter Generation for Controllable Multi-Task Recommendation
by: Shen, Chenglei, et al.
Published: (2024)
by: Shen, Chenglei, et al.
Published: (2024)
Effective Knowledge Transfer for Multi-Task Recommendation Models
by: Cai, Guohao, et al.
Published: (2026)
by: Cai, Guohao, et al.
Published: (2026)
Sequential Recommendation with Latent Relations based on Large Language Model
by: Yang, Shenghao, et al.
Published: (2024)
by: Yang, Shenghao, et al.
Published: (2024)
A Survey on Generative Recommendation: Data, Model, and Tasks
by: Hou, Min, et al.
Published: (2025)
by: Hou, Min, et al.
Published: (2025)
Common Sense Enhanced Knowledge-based Recommendation with Large Language Model
by: Yang, Shenghao, et al.
Published: (2024)
by: Yang, Shenghao, et al.
Published: (2024)
Sequence-level Semantic Representation Fusion for Recommender Systems
by: Xu, Lanling, et al.
Published: (2024)
by: Xu, Lanling, et al.
Published: (2024)
Enhancing Recommendation with Denoising Auxiliary Task
by: Liu, Pengsheng, et al.
Published: (2024)
by: Liu, Pengsheng, et al.
Published: (2024)
Efficient Multi-Task Learning via Generalist Recommender
by: Wang, Luyang, et al.
Published: (2025)
by: Wang, Luyang, et al.
Published: (2025)
HHFT: Hierarchical Heterogeneous Feature Transformer for Recommendation Systems
by: Yu, Liren, et al.
Published: (2025)
by: Yu, Liren, et al.
Published: (2025)
ReChorus2.0: A Modular and Task-Flexible Recommendation Library
by: Li, Jiayu, et al.
Published: (2024)
by: Li, Jiayu, et al.
Published: (2024)
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
by: Zhang, Zijian, et al.
Published: (2024)
by: Zhang, Zijian, et al.
Published: (2024)
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
by: Zhang, Jiang, et al.
Published: (2025)
by: Zhang, Jiang, et al.
Published: (2025)
Task-Aware Retrieval Augmentation for Dynamic Recommendation
by: Tao, Zhen, et al.
Published: (2025)
by: Tao, Zhen, et al.
Published: (2025)
MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation
by: Cheng, Wenzhuo, et al.
Published: (2026)
by: Cheng, Wenzhuo, et al.
Published: (2026)
A Multi-Task Embedder For Retrieval Augmented LLMs
by: Zhang, Peitian, et al.
Published: (2023)
by: Zhang, Peitian, et al.
Published: (2023)
Towards Personalized Federated Multi-Scenario Multi-Task Recommendation
by: Ding, Yue, et al.
Published: (2024)
by: Ding, Yue, et al.
Published: (2024)
SMES: Towards Scalable Multi-Task Recommendation via Expert Sparsity
by: Zhang, Yukun, et al.
Published: (2026)
by: Zhang, Yukun, et al.
Published: (2026)
xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems
by: Cao, Yang, et al.
Published: (2025)
by: Cao, Yang, et al.
Published: (2025)
WebNavigator: Global Web Navigation via Interaction Graph Retrieval
by: Zhang, Xuanwang, et al.
Published: (2026)
by: Zhang, Xuanwang, et al.
Published: (2026)
Shapley Value-driven Data Pruning for Recommender Systems
by: Zhang, Yansen, et al.
Published: (2025)
by: Zhang, Yansen, et al.
Published: (2025)
From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
by: Yin, Mingjia, et al.
Published: (2025)
by: Yin, Mingjia, et al.
Published: (2025)
A Task-Centric Perspective on Recommendation Systems
by: Sun, Aixin
Published: (2025)
by: Sun, Aixin
Published: (2025)
FuXi-$α$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
by: Ye, Yufei, et al.
Published: (2025)
by: Ye, Yufei, et al.
Published: (2025)
LifeIR at the NTCIR-18 Lifelog-6 Task
by: Chen, Jiahan, et al.
Published: (2025)
by: Chen, Jiahan, et al.
Published: (2025)
Debiased Model-based Interactive Recommendation
by: Li, Zijian, et al.
Published: (2024)
by: Li, Zijian, et al.
Published: (2024)
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
by: Huang, Xu, et al.
Published: (2023)
by: Huang, Xu, et al.
Published: (2023)
CIR at the NTCIR-17 ULTRE-2 Task
by: Yu, Lulu, et al.
Published: (2023)
by: Yu, Lulu, et al.
Published: (2023)
Shallow AutoEncoding Recommender with Cold Start Handling via Side Features
by: Cui, Edward DongBo, et al.
Published: (2025)
by: Cui, Edward DongBo, et al.
Published: (2025)
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation
by: Zhang, Luankang, et al.
Published: (2024)
by: Zhang, Luankang, et al.
Published: (2024)
Unified Multimodal and Multilingual Retrieval via Multi-Task Learning with NLU Integration
by: Zhang, Xinyuan, et al.
Published: (2026)
by: Zhang, Xinyuan, et al.
Published: (2026)
Human vs. Agent in Task-Oriented Conversations
by: Wang, Zhefan, et al.
Published: (2025)
by: Wang, Zhefan, et al.
Published: (2025)
Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems
by: Durmus, Furkan, et al.
Published: (2024)
by: Durmus, Furkan, et al.
Published: (2024)
Training Dense Retrievers with Multiple Positive Passages
by: Wang, Benben, et al.
Published: (2026)
by: Wang, Benben, et al.
Published: (2026)
TTT4Rec: A Test-Time Training Approach for Rapid Adaption in Sequential Recommendation
by: Yang, Zhaoqi, et al.
Published: (2024)
by: Yang, Zhaoqi, et al.
Published: (2024)
SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress
by: Yu, Yang, et al.
Published: (2026)
by: Yu, Yang, et al.
Published: (2026)
Why Not Together? A Multiple-Round Recommender System for Queries and Items
by: Jin, Jiarui, et al.
Published: (2024)
by: Jin, Jiarui, et al.
Published: (2024)
EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition
by: Zhang, Jian, et al.
Published: (2025)
by: Zhang, Jian, et al.
Published: (2025)
Similar Items
-
UniRec: Bridging the Expressive Gap between Generative and Discriminative Recommendation via Chain-of-Attribute
by: Wang, Ziliang, et al.
Published: (2026) -
OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
by: Zhang, Zhaoqi, et al.
Published: (2025) -
Decoupled Residual Quantization for Robust Semantic IDs in Recommendation
by: Wang, Xuesi, et al.
Published: (2026) -
Paragon: Parameter Generation for Controllable Multi-Task Recommendation
by: Shen, Chenglei, et al.
Published: (2024) -
Effective Knowledge Transfer for Multi-Task Recommendation Models
by: Cai, Guohao, et al.
Published: (2026)