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Finding Similar Music Artists for Recommendation

Finding Similar Music Artists for Recommendation. Members : Abhay Goel , Prerak Trivedi. General Description. In this project, we present Similar music artist based on their genre, ratings and Artist’s Era

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Finding Similar Music Artists for Recommendation

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  1. Finding Similar Music Artists for Recommendation Members :AbhayGoel, PrerakTrivedi

  2. General Description • In this project, we present Similar music artist based on their genre, ratings and Artist’s Era • We implement three steps of computation in order to obtain more detail results, as defined below: • Applying comparison between artists’ genre using distance measure(Using Jaccard’s Coefficient) • Applying user rating to artists • Applying Nearest-Neighbor search on artists’ releases album(Artist’s Era) • Yahoo! Music DB to form the base set to compare the results.

  3. Technologies Used • We plan to use HTML,JSON, JavaScript for presenting our webpage where the final results will be shown. • Yahoo Webscope Dataset R1 Yahoo! Music User Ratings of Musical Artists, version 1.0 • Yahoo Music API and YQL (http://developer.yahoo.com/music/) • HTTP REST-based API that returns data in any format, including XML and JSON. • The Yahoo! Music API service is limited to 5,000 queries per day per IP address.

  4. Task Division • Abhay’s Task • Handle Yahoo Music API using YQL and extract Artist information • Extract Artist ratings from R1 dataset • Formulate the algorithm for Recommendation • Prerak’s Task • Format the Front-End User Interface • Extract Artist ratings from R1 dataset • Formulate the algorithm for Recommendation

  5. Screenshot of Data Collected from Yahoo Music API

  6. Tentative User Interface

  7. References • Reference from Yahoo Webscope Publication “Finding Similar Music Artists for Recommendation”.

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