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Navigation system for product search

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4 Author(s)
Jongwuk Lee ; Pohang University of Science and Technology (POSTECH), Republic of Korea ; Seung-won Hwang ; Zaiqing Nie ; Ji-Rong Wen

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.

Published in:

2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)

Date of Conference:

1-6 March 2010