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。
☆54Dec 6, 2025Updated 8 months ago
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