2010 IEEE 26th International Conference on Data Engineering (ICDE 2010) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
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.
J. Wen, Z. Nie, J. Lee and S. Hwang, "Navigation system for product search," 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)(ICDE), Long Beach, CA, USA, 2010, pp. 1113-1116.