2014 FrontiersinECommercePersonaliza

• (Subramaniam, 2014) ⇒ Sri Subramaniam. (2014). “Frontiers in E-commerce Personalization.” 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:10.1145/2623330.2630820

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Cited By

• http://scholar.google.com/scholar?q=%222014%22+Frontiers+in+E-commerce+Personalization
• http://dl.acm.org/citation.cfm?id=2623330.2630820&preflayout=flat#citedby

Quotes

Author Keywords

• Data mining; e-commerce; geolocation data; mobile technology; recommender systems

Abstract

E-commerce has largely been a ' Pull' model to date. Offline retailers have nailed discovery, delight, serendipity, and impulse purchases in person with greater success than online commerce sites. However, in an always-on, mobile-first world, companies like Groupon have the opportunity to push the frontier even further than offline retailers or comprehensive sites due to the fact that our smartphones are always with us. The challenge is to provide the right deals to the right user at the right time. That involves learning about the users and their locations, their personal preferences, and predicting which deals are likely to delight them, presenting diversity, discovery and engaging UX to gather user preferences and semantic graph approaches for user-deal matching. This presentation will give insight into how Groupon manages to grapple with these challenges via a data-driven system in order to delight and surprise customers.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2014 FrontiersinECommercePersonaliza	Sri Subramaniam			Frontiers in E-commerce Personalization				10.1145/2623330.2630820		2014