TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Xianquan, Du, Zhaocheng, Zhu, Jieming, Wu, Chuhan, Jia, Qinglin, Dong, Zhenhua |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FairFS: Addressing Deep Feature Selection Biases for Recommender System
by: Wang, Xianquan, et al.
Published: (2026)
by: Wang, Xianquan, et al.
Published: (2026)
RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models
by: Wu, Zhuo, et al.
Published: (2024)
by: Wu, Zhuo, et al.
Published: (2024)
Multimodal Pretraining and Generation for Recommendation: A Tutorial
by: Zhu, Jieming, et al.
Published: (2024)
by: Zhu, Jieming, et al.
Published: (2024)
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
by: Zhao, Yuang, et al.
Published: (2024)
by: Zhao, Yuang, et al.
Published: (2024)
Evaluating Conversational Recommender Systems via Large Language Models: A User-Centric Framework
by: Chen, Nuo, et al.
Published: (2025)
by: Chen, Nuo, et al.
Published: (2025)
No One Left Behind: How to Exploit the Incomplete and Skewed Multi-Label Data for Conversion Rate Prediction
by: Jia, Qinglin, et al.
Published: (2025)
by: Jia, Qinglin, et al.
Published: (2025)
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)
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
by: Liu, Tianqi, et al.
Published: (2025)
by: Liu, Tianqi, et al.
Published: (2025)
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
by: Liu, Qijiong, et al.
Published: (2024)
by: Liu, Qijiong, et al.
Published: (2024)
Inference Computation Scaling for Feature Augmentation in Recommendation Systems
by: Liu, Weihao, et al.
Published: (2025)
by: Liu, Weihao, et al.
Published: (2025)
Learning Multi-Aspect Item Palette: A Semantic Tokenization Framework for Generative Recommendation
by: Liu, Qijiong, et al.
Published: (2024)
by: Liu, Qijiong, et al.
Published: (2024)
CRUISE on Quantum Computing for Feature Selection in Recommender Systems
by: Niu, Jiayang, et al.
Published: (2024)
by: Niu, Jiayang, et al.
Published: (2024)
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
by: Zhu, Jieming, et al.
Published: (2024)
by: Zhu, Jieming, et al.
Published: (2024)
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
by: Hong, Minjie, et al.
Published: (2025)
by: Hong, Minjie, et al.
Published: (2025)
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
by: Zhao, Haiyuan, et al.
Published: (2024)
by: Zhao, Haiyuan, et al.
Published: (2024)
MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
by: Bian, Zhipeng, et al.
Published: (2025)
by: Bian, Zhipeng, et al.
Published: (2025)
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
by: Yuan, Jun, et al.
Published: (2024)
by: Yuan, Jun, et al.
Published: (2024)
AEFS: Adaptive Early Feature Selection for Deep Recommender Systems
by: Hu, Fan, et al.
Published: (2025)
by: Hu, Fan, et al.
Published: (2025)
How Can Recommender Systems Benefit from Large Language Models: A Survey
by: Lin, Jianghao, et al.
Published: (2023)
by: Lin, Jianghao, et al.
Published: (2023)
Vector Quantization for Recommender Systems: A Review and Outlook
by: Liu, Qijiong, et al.
Published: (2024)
by: Liu, Qijiong, et al.
Published: (2024)
An Automatic Graph Construction Framework based on Large Language Models for Recommendation
by: Shan, Rong, et al.
Published: (2024)
by: Shan, Rong, et al.
Published: (2024)
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation
by: Zhu, Jiachen, et al.
Published: (2024)
by: Zhu, Jiachen, et al.
Published: (2024)
FAIR: Focused Attention Is All You Need for Generative Recommendation
by: Xiao, Longtao, et al.
Published: (2025)
by: Xiao, Longtao, et al.
Published: (2025)
Light-FMP: Lightweight Feature and Model Pruning for Enhanced Deep Recommender Systems
by: Bui, Nghia, et al.
Published: (2026)
by: Bui, Nghia, et al.
Published: (2026)
Benchmarking News Recommendation in the Era of Green AI
by: Liu, Qijiong, et al.
Published: (2024)
by: Liu, Qijiong, et al.
Published: (2024)
Towards Empathetic Conversational Recommender Systems
by: Zhang, Xiaoyu, et al.
Published: (2024)
by: Zhang, Xiaoyu, et al.
Published: (2024)
UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration
by: Xiao, Longtao, et al.
Published: (2025)
by: Xiao, Longtao, et al.
Published: (2025)
A Recommender System for NFT Collectibles with Item Feature
by: Choi, Minjoo, et al.
Published: (2024)
by: Choi, Minjoo, et al.
Published: (2024)
Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation
by: Wang, Yifan, et al.
Published: (2025)
by: Wang, Yifan, et al.
Published: (2025)
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems
by: Yu, Runlong, et al.
Published: (2024)
by: Yu, Runlong, et al.
Published: (2024)
Towards LLM-Enhanced Group Recommender Systems
by: Lubos, Sebastian, et al.
Published: (2025)
by: Lubos, Sebastian, et al.
Published: (2025)
DQRM: Deep Quantized Recommendation Models
by: Zhou, Yang, et al.
Published: (2024)
by: Zhou, Yang, et al.
Published: (2024)
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
by: Jia, Jian, et al.
Published: (2024)
by: Jia, Jian, et al.
Published: (2024)
AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System
by: Zhu, Yongchun, et al.
Published: (2025)
by: Zhu, Yongchun, et al.
Published: (2025)
Benchmarking Deep Neural Networks for Modern Recommendation Systems
by: Bahi, Abderaouf, et al.
Published: (2025)
by: Bahi, Abderaouf, et al.
Published: (2025)
Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models
by: Huang, Chengkai, et al.
Published: (2025)
by: Huang, Chengkai, et al.
Published: (2025)
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)
by: Huang, Jiani, et al.
Published: (2025)
MLSA4Rec: Mamba Combined with Low-Rank Decomposed Self-Attention for Sequential Recommendation
by: Su, Jinzhao, et al.
Published: (2024)
by: Su, Jinzhao, et al.
Published: (2024)
Similar Items
-
FairFS: Addressing Deep Feature Selection Biases for Recommender System
by: Wang, Xianquan, et al.
Published: (2026) -
RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models
by: Wu, Zhuo, et al.
Published: (2024) -
Multimodal Pretraining and Generation for Recommendation: A Tutorial
by: Zhu, Jieming, et al.
Published: (2024) -
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024) -
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
by: Zhao, Yuang, et al.
Published: (2024)