Name
Abstract | ||
|---|---|---|
This paper examines the problem of utilizing pseudo-anchor text to help ranking Web objects in vertical search. We adopt a machine learning based approach to extract pseudo-anchor text for a vertical object from its candidate anchor blocks. Experiments in academic search domain indicate that our approach is able to dramatically improve search performance. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1183614.1183766 | CIKM |
Keywords | Field | DocType |
academic search domain,ranking web object,pseudo-anchor text extraction,vertical object,search performance,pseudo-anchor text,vertical search,candidate anchor block,machine learning,anchor text | Data mining,Vertical search,Information retrieval,Ranking,Computer science,Anchor text | Conference |
ISBN | Citations | PageRank |
1-59593-433-2 | 0 | 0.34 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuming Shi | 1 | 620 | 58.27 |
| Fei Xing | 2 | 62 | 3.34 |
| Mingjie Zhu | 3 | 89 | 4.32 |
| Zaiqing Nie | 4 | 944 | 46.72 |
| Ji-Rong Wen | 5 | 4431 | 265.98 |