swainjo

FIS Alpine Skiing seasons

Introduction

swainjo

== Green Man POC
:neo4j-version: neo4j-2.1
:author: John Swain
:twitter: @swainjo
:tags: domain:POC

=== Load Sample Data

//setup
//hide

swainjo

Movie Recommendations with k-Nearest Neighbors and Cosine Similarity

---

Introduction

The k-nearest neighbors (k-NN) algorithm is among the simplest algorithms in the data mining field. Distances / similarities are calculated between each element in the data set using some distance / similarity metric ^^[1]^ that the researcher chooses (there are many distance / similarity metrics), where the distance / similarity between any two elements is calculated based on the two elements' attributes. A data element’s k-NN are the k closest data elements according to this distance / similarity.

---

1. A distance metric measures distance; the higher the distance the further apart the neighbors. A similarity metric measures similarity; the higher the similarity the closer the neighbors.

swainjo

Country Opinions

In the video game Elite:Dangerous players can buy and sell commodities at stations around the galaxy. This gist shows how to use Neo4j and Cypher queries for trading decisions in this game.