SceneFindr Stephanie Stark
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SceneFindrStephanie Stark
Motivation● Interested in hearing live music, but don’t
know where to go?
Pipeline
Data Sources
Data Sources
Data Sources
Data Sources
Data Sources
Pipeline
ETL
Artists
Events
Feature Extraction
K-Means Clusterin
g
Recommendations
Database
Pipeline
Scaling
500gb Artist Data
9 Hours
500gb Event Data
Lessons Learned (the hard way!)● Scala● Parallelized ML algorithms
About Me
B.A., Mount Holyoke CollegeMajor: MathematicsMinor: Computer Science
Education
Interests ReadingArt HistoryHiking
Stephanie Stark
Future WorkImplement TF/IDF compatibility for projectUse PCAImplement cosine similarity for feature clusteringCluster within metro areaUse Redis as a cache for feature vectors
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