Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods
Information Retrieval
2018-07-03 v1 Machine Learning
Machine Learning
Abstract
We present a method for a wine recommendation system that employs multidimensional clustering and unsupervised learning methods. Our algorithm first performs clustering on a large corpus of wine reviews. It then uses the resulting wine clusters as an approximation of the most common flavor palates, recommending a user a wine by optimizing over a price-quality ratio within clusters that they demonstrated a preference for.
Cite
@article{arxiv.1807.00692,
title = {Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods},
author = {Richard Diehl Martinez and Geoffrey Angus and Rooz Mahdavian},
journal= {arXiv preprint arXiv:1807.00692},
year = {2018}
}