- Published on
Music Recommendation Service
- Authors
- Name
- Isaiah Martinez
- @IsaiahMTech
Description
This project consists of a series of 5 parts:
- Assignment 1 : Comparison of different disciplines within Data Science
- Assignment 2 : Read a CSV of data, and do basic operations on the data.
- Assignment 3 : Answer a series of questions regarding Data Mining.
- Assignment 4 : Perform Apriori function in R on a given dataset.
- Group Project : Music Recommendation Service
Design
The initial design was to utilize Web Crawlers to obtain music data from a variety of sources. I utilized a technique called Snowballing to obtain related artists from this website: Music Map. From there, I took the artists and queried them on Last.FM to obtain song data.
However when it came time to use the data, we lacked the user data that we desired to make a recommender system. As such, we found an alternative source using Music Brainz Server's.
For more information, see the presentations seen in the repo Presentation 1, Presentation 2, and Presentation 3.
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