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2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)
Navigation system for product search
Long Beach, CA, USA
March 01-March 06
ISBN: 978-1-4244-5445-7
Jongwuk Lee, Pohang University of Science and Technology (POSTECH), Republic of Korea
Seung-won Hwang, Pohang University of Science and Technology (POSTECH), Republic of Korea
Zaiqing Nie, Microsoft Research Asia, Beijing, China
Ji-Rong Wen, Microsoft Research Asia, Beijing, China
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 interests from millions of Web pages and disambiguating different perceptions 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.
Citation:
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong Wen, "Navigation system for product search," icde, pp.1113-1116, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 2010
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