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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)…
Lei Li, Yongfeng Zhang, Li Chen. Personalized Prompt Learning for Explainable Recommendation. ACM Transactions on Information Systems (TOIS), 2023.
The main features of lileipisces/pepler are: Fine-Tuned Recommendation Models.
Open-source alternatives to lileipisces/pepler include: 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… ljy0ustc/llara — 2024.7: We have resolved several bugs within our code. Below are the most recent results of LLaRA. rutgerswiselab/genrec — pip install -r requirements.txt. anord-wang/llm4rec — This ReadMe file contains the Python codes for the paper.
