Navigation system for product search

Abstract— We demonstrate Product EntityCube, a product recommendation and navigation system. While the unprecedented scale of a product search portal enables to satisfy users with diverse needs, this scale also complicates product recommendation. Specifically, our target application poses a unique challenge of overcoming insufficient user profiles and feedbacks. To address this problem, we organize query results into clusters representing different user perceptions of similarity, and provide a navigational UI to handle personal interests. Specifically, we first discuss hybrid object clustering capturing diverse user perception from millions of Web pages and disambiguating different senses using feature-based similarity. We then discuss skyline object ranking to highlight interesting items at each cluster. Our demonstration illustrates how Product EntityCube can enrich user product shopping experiences.

• Type: Conference
• Year: 2010
• Where: ICDE
• Authors: Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong Wen
• Keywords: Database, ICDE 2010, Product EntityCube, Product Recommendation, User Perception