Clustering e-commerce search engines

Authors:
Qian Peng;Weiyi Meng;Hai He;Clement Yu
Affiliations:
SUNY at Binghamton, Binghamton, NY;SUNY at Binghamton, Binghamton, NY;SUNY at Binghamton, Binghamton, NY;University of Illinois at Chicago, Chicago, IL
Venue:
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Year:
2004

Citing 2
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Abstract

In this paper, we sketch a method for clustering e-commerce search engines by the type of products/services they sell. This method utilizes the special features of interface pages of such search engines. We also provide an analysis of different types of ESE interface pages.