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llm-recommendation

Here are 6 public repositories matching this topic...

westlake-repl / Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review

Paper List of Pre-trained Foundation Recommender Models

Updated Aug 12, 2024

westlake-repl / MicroLens

A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).

video video-understanding large short-video video-generation audio-recommendation image-recommendation video-recommendation foundation-models large-language-models llm text-recommendation llm-recommendation video-understanding-dataset video-generation-dataset

Updated Dec 3, 2024
Python

westlake-repl / IDvs.MoRec

End-to-end Training for Multimodal Recommendation Systems

end-to-end multimodal multimodal-deep-learning image-recommendation foundation-models llm large-language-model foundation-recommendation-model text-recommendation transferable-recommendation multimodal-recommendation multimodal-recommendation-dataset llm-recommendation modality-based-recommendation

Updated Aug 18, 2024
Python

westlake-repl / NineRec

Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System

multimodal one-for-all cross-domain-recommendation image-recommendation llm multi-modal-recommendation foundation-recommendation-model text-recommendation multimodal-recommenddation transfer-learning-recommendation transferable-recommendation pre-training-dataset multi-domain-recommendation llm-recommendation cross-platform-recommendation pre-train-recommendation

Updated Oct 6, 2024
Python

westlake-repl / Multimodal-recommendation-datasets

A repository listing important datasets for multimodal recommender systems

cross-domain-recommendation pre-trained-language-models image-recommendation foundation-recommendation-model text-recommendation transferable-recommendation multimodal-recommendation multi-domain-recommendation multimodal-recommendation-dataset llm-recommendation

Updated Mar 20, 2024

HEMANGANI / LLM-Recommendation-Systems

This project fine-tunes large language models (LLMs) for text-based recommendations, using a novel prompt mechanism to improve accuracy and user satisfaction. It demonstrates efficient model adaptation with diverse datasets, leveraging advanced libraries and techniques for optimal performance.

recommendation-system llama lora mistral llm qlora llm-recommendation

Updated Sep 8, 2024
Jupyter Notebook

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