mef51 / recommendo

Reccomendation System for book reading site

Recommendo

A mock recommendation system for a book reading site

Usage

go run recommendo.go

TODO

• Understand why Euclidean and Pearson Results are so different (factor of 10) - possibly bug in one of the algos.

• Recommending Items (given a user)

• Matching products (optional)

• Serve data to a client and use google API to visualize data

DONE

• Find Similar Users (Euclidean, Pearson)
• Ranking the critics

Objective

Compare two Euclidean Distance and Pearson Correlation algorithms for a recommendation system.