Name
Abstract | ||
|---|---|---|
A pressing task during the unification process is to identify a user's vertical search intention based on the user's query. In this paper, we propose a novel method to propagate social annotation, which includes user-supplied tag data, to both queries and VSEs for semantically bridging them. Our proposed algorithm consists of three key steps: query annotation, vertical annotation and query intention identification. Our algorithm, referred to as TagQV, verifies that the social tagging can be propagated to represent Web objects such as queries and VSEs besides Web pages. Experiments on real Web search queries demonstrate the effectiveness of TagQV in query intention identification. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1526709.1526932 | WWW |
Keywords | Field | DocType |
social tagging,vertical search intention,social tagging propagation,query intention identification,vertical annotation,social annotation,query annotation,real web search query,proposed algorithm,web page,web object,metadata,search engine,web pages | Vertical search,Web search query,Metadata,World Wide Web,Search engine,Annotation,Information retrieval,Web page,Query expansion,Computer science,Web query classification | Conference |
Citations | PageRank | References |
3 | 0.37 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Liu | 1 | 253 | 15.62 |
| Jun Yan | 2 | 1798 | 85.25 |
| Weiguo Fan | 3 | 2055 | 133.38 |
| Qiang Yang | 4 | 17039 | 875.69 |
| Zheng Chen | 5 | 5019 | 256.89 |