Personalization is the key to the future of marketing in e-commerce. Extracting meaningful information from the data sources is the first step in building learning models that are used to craft a personalized experience in Etsy. Etsy is an online market place for artisans selling unique handcrafted goods, and vintage wares. Kamelia is a data scientist in Etsy for the past two years. In this talk, she’ll discuss data extraction and machine learning techniques behind user, shop and listing recommendations that create a personalized experience for Etsy users!
- "Kamelia Aryafar" karyafar@etsy.com
- Hu, Diane J., Rob Hall, and Josh Attenberg. "Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce." Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2014.
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- Aryafar, K., & Soung, J. (2015). Exploring Alternate Modalities for Tag Recommendation. In Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction (pp. 141-144). Springer International Publishing.
- Personalized Recommendations at Etsy ,Rob Hall