TY - GEN
T1 - Product EntityCube
T2 - 26th IEEE International Conference on Data Engineering, ICDE 2010
AU - Lee, Jongwuk
AU - Hwang, Seung Won
AU - Nie, Zaiqing
AU - Wen, Ji Rong
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77952781423&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952781423&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2010.5447780
DO - 10.1109/ICDE.2010.5447780
M3 - Conference contribution
AN - SCOPUS:77952781423
SN - 9781424454440
T3 - Proceedings - International Conference on Data Engineering
SP - 1113
EP - 1116
BT - 26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings
Y2 - 1 March 2010 through 6 March 2010
ER -