GenRecWithQwen. 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。

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.