mlsanityData to 14 Oct 2026

Sequential LLM Framework for Fashion Recommendation

arXiv 2410.11327 ↗First posted 15 Oct 2024cs.IR cs.AI cs.CLcited by 6

Not on the map. Why?

Abstract (arXiv)

The fashion industry is one of the leading domains in the global e-commerce sector, prompting major online retailers to employ recommendation systems for product suggestions and customer convenience. While recommendation systems have been widely studied, most are designed for general e-commerce problems and struggle with the unique challenges of the fashion domain. To address these issues, we propose a sequential fashion recommendation framework that leverages a pre-trained large language model (LLM) enhanced with recommendation-specific prompts. Our framework employs parameter-efficient fine-tuning with extensive fashion data and introduces a novel mix-up-based retrieval technique for translating text into relevant product suggestions. Extensive experiments show our proposed framework significantly enhances fashion recommendation performance.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 33 of its 48 references that are in the map. First posted on arXiv 15 Oct 2024.

Builds on

33 of 48 references.

References · 33

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
  3. 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,944
  4. 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,418
  5. 2020Extracting Training Data from Large Language Modelscited by 2,189
  6. 2023Efficient Streaming Language Models with Attention Sinkscited by 2,186
  7. 2018Self-Attentive Sequential Recommendationcited by 1,184
  8. 2022Large Language Models Are Human-Level Prompt Engineerscited by 1,045
  9. 2019BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformercited by 964
  10. 2015Session-based Recommendations with Recurrent Neural Networkscited by 695
  11. 2018Personalized Top-N Sequential Recommendation via Convolutional Sequence Embeddingcited by 476
  12. 2020S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximizationcited by 311
21 more
  1. 2016Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendationcited by 152
  2. 2015VBPR: Visual Bayesian Personalized Ranking from Implicit Feedbackcited by 151
  3. 2023Text Is All You Need: Learning Language Representations for Sequential Recommendationcited by 149
  4. 2020RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithmscited by 138
  5. 2019MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendationcited by 121
  6. 2018A Simple Convolutional Generative Network for Next Item Recommendationcited by 120
  7. 2019Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddingscited by 66
  8. 2019POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashioncited by 64
  9. 2017Visually-Aware Fashion Recommendation and Design with Generative Image Modelscited by 43
  10. 2023Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generationcited by 42
  11. 2020MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendationcited by 39
  12. 2021Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networkscited by 37
  13. 2022CORE: Simple and Effective Session-based Recommendation within Consistent Representation Spacecited by 37
  14. 2022A Review of Modern Fashion Recommender Systemscited by 25
  15. 2019Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approachcited by 17
  16. 2023When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendationcited by 17
  17. 2024EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLMcited by 12
  18. 2019Improving Outfit Recommendation with Co-supervision of Fashion Generationcited by 6
  19. 2019Visually-aware Recommendation with Aesthetic Featurescited by 4
  20. 2016Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Itemscited by 3
  21. 2024SoK: Security and Privacy Risks of Healthcare AIcited by 2

Built on by

Cited by year

Citing papers per year: 2024: 1; 2025: 5.

6 papers.

  1. 2024Watermark under Fire: A Robustness Evaluation of LLM Watermarkingcited by 9
  2. 2025Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendationscited by 2
  3. 2025TATTOO: Training-free AesTheTic-aware Outfit recOmmendationcited by 2
  4. 2025Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commercecited by 1
  5. 2025Fine-Grained Customized Fashion Design with Image-into-Prompt benchmark and dataset from LMMcited by 0
  6. 2025Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendationcited by 0