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Competition closes at 1pm London ( UTC+1) July 22nd
“Soulful” ... “Catchy” ... “Cool\" ... \"Cheesy\" ... \"Edgy”
\r\nHow do people connect to and describe the music they have just heard?
\r\nEMI Insight performs extensive market research about their artists by interviewing thousands of people around the world. This research has produced EMI One Million Interview Dataset; one of the largest music preference datasets in the world today, that connects data about people--who they are, where they live, how they engage with music in their daily lives-- with their opinions about EMI’s artists.
This Data Science London hackathon will focus on one key subset of this data: understanding what it is about people and artists that predicts how much people are going to like a particular track. We have taken a sample of the data from the United Kingdom that provides a granular mixture of profile, word-association, and rating data.
The goal of this weekend hackathon is to design an algorithm that combines users’ (a) demographics, (b) artist and track ratings, (c) answers to questions about their preferences for music, and (d) words that they use to describe EMI artists in order to predict how much they like tracks they have just heard.
\r\nThere is also a Visualization thread where you can submit your most amazing Music-Data Viz and view and vote on other contestants' entries. Go to 'Prospect' at the top of this page. Submissision will open at the same time as the competition.
(Data will be made available 24 hours prior to the start of the contest)
\r\nFor more info http://musicdatascience.com/
\r\nhashtag #musicdata #ds_ldn #DSGhack
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Proudly brought to you by
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![\"\"](\"https://storage.googleapis.com/kaggle-media/competitions/kaggle/2963/media/logos.png\")
You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.
\r\n\r\n Privately sharing code or data outside of teams is not permitted.\r\n It's okay to share code if made available to all participants on the forums.\r\n
\r\n\r\n Team mergers are allowed and can be performed by the team leader. In order to merge, the combined team must have a total submission count less than or equal to the maximum allowed as of the merge date. The maximum allowed is the number of submissions per day multiplied by the number of days the competition has been running.
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There is no maximum team size.
\r\nYou may submit a maximum of 24 entries per day.
\r\nYou may select up to 3 final submissions for judging.
\r\nStart Date: 7/21/2012 1:00 PM UTC
\r\nMerger Deadline: None
\r\nEntry Deadline: None
\r\nEnd Date: 7/22/2012 12:00 PM UTC
\r\n\t\r\nPLEASE NOTE: NO SUBMISSIONS BEFORE 1pm UK time Saturday 21st
\r\nPlease note: because this is a 24 hour event, the 7 day team merger rule does not apply.
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", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Prizes", "content": "Music Data Science Hackathon Prizes\r\n
(sponsored by EMI and EMC)\r\n
1st Global Prize – £2,500
2nd Global Prize – £1,000
3rd Global Prize – £500
London Venue Prize - £2,000
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Data Visualization Prize - £500 (sponsored by Adatis)
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