HLLM
Visit ToolHLLM is an e-commerce tool that enhances sequential recommendations using hierarchical large language models. It improves personalization and accuracy in recommendation systems for item and user modeling.
At a glance
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HLLM is an e-commerce tool that enhances sequential recommendations using hierarchical large language models. It improves personalization and accuracy in recommendation systems for item and user modeling.
Trending
About
HLLM (Hierarchical Large Language Models) is a sophisticated tool designed to significantly enhance sequential recommendation systems. It leverages large language models to create more accurate and personalized recommendations by effectively modeling both items and users. The system includes HLLM-Creator, which focuses on personalized creative generation. HLLM provides a framework for training and evaluating models on datasets like PixelRec and Amazon Book Reviews, offering improved performance over traditional ID-based models such as HSTU and SASRec. It supports multinode training and allows for fine-tuning of pre-trained LLMs like TinyLlama and Baichuan2, making it a powerful solution for researchers and developers in the recommendation systems domain.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
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