This repo presents implementation of the P5 large language model (LLM) for recommendation:
All the recommendation experiments are conducted under our content based recommendation repository Legommenders. It involves a set of news recommenders and click-through rate prediction models. It is a modular-design framework, supporting the integration with pretrained language models (PLMs)…
2024.7: We have resolved several bugs within our code. Below are the most recent results of LLaRA.
الميزات الرئيسية لـ ljy0ustc/llara هي: Fine-Tuned Recommendation Models.
تشمل البدائل مفتوحة المصدر لـ ljy0ustc/llara: hestiasky/e4srec — At least 2 A800 is required. Preferable 8 A800. jeykigung/p5 — This repo presents implementation of the P5 large language model (LLM) for recommendation:. jyonn/once — All the recommendation experiments are conducted under our content based recommendation repository Legommenders. It… lileipisces/pepler — Lei Li, Yongfeng Zhang, Li Chen. Personalized Prompt Learning for Explainable Recommendation. ACM Transactions on… rutgerswiselab/genrec — pip install -r requirements.txt. anord-wang/llm4rec — This ReadMe file contains the Python codes for the paper.
