1. Finding Similar Music Artists for Recommendation Members :Abhay Goel, Prerak Trivedi

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://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”.