用户兴趣图谱构建方案
电商推荐系统实施步骤：
- Data preparation：将用户行为日志转化为
[用户, 行为类型, 商品, 时间戳]四元组 - 图谱初始化::
graph.add_node(''User'', id=''U123'')创建用户节点 - dynamic update (Internet): By
graph.merge_edge()方法实时更新用户-商品交互权重 - semantic enhancement: for
浏览/收藏/购买等不同行为类型设置差异化边缘属性
查询示例：MATCH (u:User)-[r:购买|浏览]->(p:Product) WHERE r.timestamp > date()-duration(''P7D'') RETURN p可获取近期兴趣商品。
This answer comes from the articleGraphiti: dynamic knowledge graph construction and query tool (time-aware long memory scheme)The
May not be reproduced without permission:AI productivity tools " How can Graphiti be applied to build a user interest graph in a personalized recommendation scenario?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil