Graph 使用Cypher查找最受欢迎的低评级电影。合并查询

我目前正在尝试使用电影的neo4j数据集示例创建一个查询。我想选择有很多标签（更受欢迎）的电影以及收视率较低的电影

我已经找到了如何找到最受欢迎的（高于平均水平）：

还有如何得到那些音符较少的

MATCH ()-[r:RATED]->(m:MOVIE) 
WITH  avg(r.rating) as avgrating 
MATCH ()-[r:RATED]->(m:MOVIE) 
WITH m.title as titlemovie, avgrating, avg(r.rating) as  movierating 
WHERE movierating < avgrating/2
RETURN titlemovie, avgrating, movierating 
ORDER BY movierating ASC

MATCH（）-[r:RATED]->（m:MOVIE）
以平均值（r.额定值）作为平均值
匹配（）-[r:RATED]->（m:MOVIE）
m.头衔为titlemovie，avgrating，avg（r.评级）为电影
其中，移动<平均光栅/2
返回标题移动、avgrating、movierating
移动ASC命令

但当我将它们合并在一起时，查询永远不会结束

MATCH ()-[r:RATED]->(m:MOVIE) 
WITH  avg(r.rating) as avgrating 
MATCH ()-[r:RATED]->(m:MOVIE) 
WITH m.title as titlemovie, avgrating, avg(r.rating) as  movierating 
WHERE movierating < avgrating/2
MATCH (m:MOVIE)-[r:HAS_TAG]->() 
WITH count(r) as tagnum, m.title as title_now, titlemovie, avgrating, movierating 
WITH avg(tagnum) as avgtagnum, titlemovie, avgrating, movierating 
MATCH (m:MOVIE)-[r:HAS_TAG]->() 
WITH count(r) as tagnum, m.title as title_now, avgtagnum, titlemovie, avgrating, movierating 
WHERE tagnum > avgtagnum*3
RETURN titlemovie, avgrating, movierating, avgtagnum, tagnum 
ORDER BY tagnum DESC,  movierating ASC

MATCH（）-[r:RATED]->（m:MOVIE）
以平均值（r.额定值）作为平均值
匹配（）-[r:RATED]->（m:MOVIE）
m.头衔为titlemovie，avgrating，avg（r.评级）为电影
其中，移动<平均光栅/2
匹配（m:电影）-[r:有标签]->（）
计数（r）为tagnum，m.title为title_，titlemovie，avgrating，movierating
以avg（tagnum）作为avgtagnum、titlemovie、avgrating、movierating
匹配（m:电影）-[r:有标签]->（）
计数（r）为tagnum，m.title为title_，现在为avgtagnum，titlemovie，avgrating，movierating
其中tagnum>avgtagnum*3
返回标题移动、avgrating、movierating、avgtagnum、tagnum
由tagnum DESC、movierating ASC订购

问题是我如何找到符合我2个要求的电影；更少的音符，更受欢迎

首先，使用avg（评级）会给你平均评级，而不是电影的平均评级

二,。

MATCH（m:MOVIE）-[r:HAS_-TAG]->（）

将计数（r）作为tagnum。。。
将avg（tagnum）作为avgtagnum…

由于模式匹配只考虑了那些有一些标记的电影（所以你会得到比实际更大的平均数），所以这段代码不会给出确切的平均标记数

为什么要将

与。。。m、 标题现在为标题，标题视频

两个标题？最好的猜测是你们看错了电影

如果必须纠正您的疑问，我会这样写：

---

MATCH（）-[r:RATED]->（m:MOVIE）
以m、平均值（r评级）作为平均值
以avg（avgra）作为avg光栅
比赛（m:电影）
以avg（尺寸（（m）-[：HAS_TAG]-（））作为avgtagnum，avgrating
匹配（m:电影）-[r:有标签]->（）
计数（r）为tagnum，m.title为titlemovie，avgtagnum，avgrating，avg（r.rating）为movierating
其中tagnum>avgtagnum*3和movierating

---

MATCH ()-[r:RATED]->(m:MOVIE) 
WITH  avg(r.rating) as avgrating 
MATCH ()-[r:RATED]->(m:MOVIE) 
WITH m.title as titlemovie, avgrating, avg(r.rating) as  movierating 
WHERE movierating < avgrating/2
MATCH (m:MOVIE)-[r:HAS_TAG]->() 
WITH count(r) as tagnum, m.title as title_now, titlemovie, avgrating, movierating 
WITH avg(tagnum) as avgtagnum, titlemovie, avgrating, movierating 
MATCH (m:MOVIE)-[r:HAS_TAG]->() 
WITH count(r) as tagnum, m.title as title_now, avgtagnum, titlemovie, avgrating, movierating 
WHERE tagnum > avgtagnum*3
RETURN titlemovie, avgrating, movierating, avgtagnum, tagnum 
ORDER BY tagnum DESC,  movierating ASC

MATCH ()-[r:RATED]->(m:MOVIE) 
WITH  m, avg(r.rating) as avgra
with avg(avgra) as avgrating
MATCH (m:MOVIE) 
WITH avg(size((m)-[:HAS_TAG]-())) as avgtagnum, avgrating
MATCH (m:MOVIE)-[r:HAS_TAG]->() 
WITH count(r) as tagnum, m.title as titlemovie, avgtagnum, avgrating, avg(r.rating) as movierating
WHERE tagnum > avgtagnum*3 and movierating < avgrating/2
RETURN titlemovie, avgrating, movierating, avgtagnum, tagnum 
ORDER BY tagnum DESC,  movierating ASC