Customers Who Bought Music Also Bought Beer

A session at BACON 2012

Saturday 21st April, 2012

11:00am to 11:30am (GMT)

From The Hype Machine to Last.fm, music recommendation is now an everyday part of our lives. These services employ many techniques, from curated-playlists to content-similarity to collaborative filtering. But can music recommendation techniques tell us what we should be drinking before a concert? Or where to drink it? Or what tasty beverage best matches a meal? In this talk I’ll be briefly surveying music recommendation techniques, focusing on personalisation and content-based recommendation. I’ll then introduce a dataset of beer descriptions and ratings. We’ll apply the earlier techniques (some with slight modifications) to this rather more intoxicating domain, via a case study. When it’s all over, everyone should know the answer to that most important of questions: What beer will go best (for you) with this bacon?

(all code used in this talk will be available online under an OSS licence)

About the speaker

This person is speaking at this event.
Ben Fields

Thinking about beer, data, music; order varies over time. I do some of my best thinking on a bicycle. Fixing all the data @funandplausible. Sometimes academic.

Next session in Newgate Suite

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BACON 2012

England England, London

20th21st April 2012

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When

Time 11:00am11:30am GMT

Date Sat 21st April 2012

Where

Newgate Suite, The Mermaid Conference Centre

Short URL

lanyrd.com/srfqb

Official session page

devslovebacon.com/…s/ben-fields

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