新手友好的基于 Qwen2 的生成式推荐系统，通过大模型理解用户偏好生成候选物品，融合 TF-IDF 关键词召回、热门物品召回构建多源策略，平衡相关性与多样性。采用 LightGBM 排序模型精准打分，内置召回率、NDCG 等评估指标量化效果。通过 Flask 封装 API，支持 HTTP 调用与缓存机制，模块化设计便于扩展。低算力需求，部署超简单。
☆49Dec 6, 2025Updated 4 months ago
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