# MoE for recommender systems

Area: [Mixture-of-experts](https://mlsanity.com/moe/index.md). HTML: https://mlsanity.com/moe/moe-for-recommender-systems/

## Key facts

- MoE for recommender systems: 41 papers on arXiv since 2020 (data through 14 Oct 2026).
- 5 of its 41 mapped papers (12%) cite “M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework” (2024, arXiv 2404.18465).
- 5 of its 41 mapped papers (12%) cite “Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation” (2025, arXiv 2501.14269).
- 3 new papers 17 Sep–14 Oct.

## Most cited here

- [M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework](https://mlsanity.com/paper/2404.18465/) (2024), cited by 5 papers here
- [Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation](https://mlsanity.com/paper/2501.14269/) (2025), cited by 5 papers here
- [Sequence-level Semantic Representation Fusion for Recommender Systems](https://mlsanity.com/paper/2402.18166/) (2024), cited by 3 papers here
- [HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction](https://mlsanity.com/paper/2303.06095/) (2023), cited by 1 papers here
- [Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation](https://mlsanity.com/paper/2411.01457/) (2024), cited by 1 papers here
- [MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization](https://mlsanity.com/paper/2506.07563/) (2025), cited by 1 papers here
- [Hierarchical LoRA MoE for Efficient CTR Model Scaling](https://mlsanity.com/paper/2510.10432/) (2025), cited by 1 papers here
- [TokenMixer-Large: Scaling Up Large Ranking Models in Industrial Recommenders](https://mlsanity.com/paper/2602.06563/) (2026), cited by 1 papers here
- [SMES: Towards Scalable Multi-Task Recommendation via Expert Sparsity](https://mlsanity.com/paper/2602.09386/) (2026), cited by 1 papers here
- [Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation](https://mlsanity.com/paper/2604.20858/) (2026), cited by 1 papers here

## New (17 Sep–14 Oct)

- [RouteRec: Behavior-Guided Sparse Routing for Sequential Recommendation](https://mlsanity.com/paper/2609.39007/) (2026-09-30)
- [EvoSkillRec: Skill-Genome Evolution for Recommender Architecture Discovery](https://mlsanity.com/paper/2609.34552/) (2026-09-28)
- [OneTrans-V2: Unifying Retrieval, Pre-rank, and Fine-rank with One Transformer in Industrial Recommender](https://mlsanity.com/paper/2609.28589/) (2026-09-23)