7.16. Complex similarity computations

7.16.1. Calculate similarities by complex calculations

7.16.1. Calculate similarities by complex calculations

Here, a similarity between two players in a game is calculated by the number of times they have eaten the same food.

Query. 

START me=node:node_auto_index(name = "me")
MATCH me-[r1:ATE]->food<-[r2:ATE]-you
==== me,count(distinct r1) as H1,count(distinct r2) as H2,you ====
MATCH me-[r1:ATE]->food<-[r2:ATE]-you
RETURN sum((1-ABS(r1.times/H1-r2.times/H2))*(r1.times+r2.times)/(H1+H2)) as similarity

The two players and their similarity measure.

Result

similarity
1 row

-30.0


Try this query live. (1) {"name":"me"} (2) {"name":"meat"} (3) {"name":"you"} (1)-[:ATE]->(2) {"times":10} (3)-[:ATE]->(2) {"times":5} START me=node:node_auto_index(name = "me") MATCH me-[r1:ATE]->food<-[r2:ATE]-you ==== me,count(distinct r1) as H1,count(distinct r2) as H2,you ==== MATCH me-[r1:ATE]->food<-[r2:ATE]-you RETURN sum((1-ABS(r1.times/H1-r2.times/H2))*(r1.times+r2.times)/(H1+H2)) as similarity

Figure 7.20. Graph