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Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 1113-1116
Seung-won Hwang , Pohang University of Science and Technology (POSTECH), Republic of Korea
Jongwuk Lee , Pohang University of Science and Technology (POSTECH), Republic of Korea
Ji-Rong Wen , Microsoft Research Asia, Beijing, China
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 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
Seung-won Hwang, Jongwuk Lee, Ji-Rong Wen, "Navigation system for product search", ICDE, 2010, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 IEEE 29th International Conference on Data Engineering (ICDE) 2010, pp. 1113-1116, doi:10.1109/ICDE.2010.5447780
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