Name
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. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1145/1013367.1013503 | WWW (Alternate Track Papers & Posters) |
Keywords | Field | DocType |
search engine,different type,ese interface page,interface page,e-commerce search engine,special feature,e commerce,algorithms,document clustering,performance,design | Data mining,Organic search,World Wide Web,Search engine,Information retrieval,Document clustering,Computer science,Database search engine,Search engine indexing,Search analytics,Cluster analysis,E-commerce | Conference |
ISBN | Citations | PageRank |
1-58113-912-8 | 2 | 0.42 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qian Peng | 1 | 14 | 1.21 |
| Weiyi Meng | 2 | 2722 | 514.77 |
| Hai He | 3 | 191 | 11.69 |
| Clement Yu | 4 | 2 | 0.42 |