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Frontiers in e-commerce personalization

Published on Oct 07, 20144281 Views

Sri Subramaniam

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. Howe

KDD 2014 - New York

Related categories

Data MiningKnowledge Extraction

Chapter list

Frontiers in E-Commerce Personalization00:00
E-Commerce 1.0  2.0: Still “Pull”00:40
E-commerce 1.0  2.0: Discovery02:27
Local: Ripe for Discovery03:21
Leading the way in mobile commerce04:22
Right deals to the right users using the right medium at the right time05:07
Objective Function05:19
Deal Performance05:43
Local: Location, Location, Location07:24
Local: Location, location, location!09:23
Location: Zip Affinity scoring09:53
Location: advanced ideas11:20
User – Deal – Context Matching13:55
Deal Features18:45
Semantic graphs23:05
Collaborative Filtering25:41
User Features 28:32
User Profiling32:30
Diversity34:54
Freshness and “Back-off”35:40
Personalized Search36:35
Summary37:08
Acknowledgements37:34