cwbe coordinatez:
101
63540
63542
8188908
8243393

ABSOLUT
KYBERIA
permissions
you: r,
system: public
net: yes

neurons

stats|by_visit|by_K
source
tiamat
commanders
polls

total descendants::0
total children::0
1 ❤️


show[ 2 | 3] flat


http://neo4j.com/graphgist/8173017/

In this Graph Gist, I’m using k-NN with cosine similarity ^[7]^ as the similarity metric to calculate movie recommendations. I wanted a fun data set, so I asked people on Twitter and bothered a few people via email to fill out this form. Using their movie ratings, I’ll calculate the cosine similarity between each person. I’ll then calculate movie recommendations for a person’s unrated movies based on an average rating from that person’s k-nearest neighbors. My methodology will be explained in detail throughout.








axone recommender systems / ML frameworks