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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)…
The code of AAAI'24 paper GLRec. Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
The main features of wlik/glrec are: Fine-Tuned Recommendation Models.
Open-source alternatives to wlik/glrec 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… lileipisces/pepler — Lei Li, Yongfeng Zhang, Li Chen. Personalized Prompt Learning for Explainable Recommendation. ACM Transactions on… ljy0ustc/llara — 2024.7: We have resolved several bugs within our code. Below are the most recent results of LLaRA. anord-wang/llm4rec — This ReadMe file contains the Python codes for the paper.
