2014 StyleintheLongTailDiscoveringUn

• (Hu et al., 2014) ⇒ Diane J. Hu, Rob Hall, and Josh Attenberg. (2014). “Style in the Long Tail: Discovering Unique Interests with Latent Variable Models in Large Scale Social E-commerce.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623338

Subject Headings: Etsy Service, Consumer Style Preference.

Cited By

• http://scholar.google.com/scholar?q=%222014%22+Style+in+the+Long+Tail%3A+Discovering+Unique+Interests+with+Latent+Variable+Models+in+Large+Scale+Social+E-commerce
• http://dl.acm.org/citation.cfm?id=2623330.2623338&preflayout=flat#citedby

Quotes

Author Keywords

• Collaborative filtering; data mining; recommender systems; topic modeling

Abstract

Purchasing decisions in many product categories are heavily influenced by the shopper's aesthetic preferences. It's insufficient to simply match a shopper with popular items from the category in question; a successful shopping experience also identifies products that match those aesthetics. The challenge of capturing shoppers' styles becomes more difficult as the size and diversity of the marketplace increases. At Etsy, an online marketplace for handmade and vintage goods with over 30 million diverse listings, the problem of capturing taste is particularly important - - users come to the site specifically to find items that match their eclectic styles.

In this paper, we describe our methods and experiments for deploying two new style-based recommender systems on the Etsy site. We use Latent Dirichlet Allocation (LDA) to discover trending categories and styles on Etsy, which are then used to describe a user's " interest " profile. We also explore hashing methods to perform fast nearest neighbor search on a map-reduce framework, in order to efficiently obtain recommendations. These techniques have been implemented successfully at very large scale, substantially improving many key business metrics.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2014 StyleintheLongTailDiscoveringUn	Josh Attenberg Rob Hall Diane J. Hu			Style in the Long Tail: Discovering Unique Interests with Latent Variable Models in Large Scale Social E-commerce				10.1145/2623330.2623338		2014