Name
Abstract | ||
|---|---|---|
We address the problem of finding query facets which are multiple groups of words or phrases that explain and summarize the content covered by a query. We assume that the important aspects of a query are usually presented and repeated in the query’s top retrieved documents in the style of lists, and query facets can be mined out by aggregating these significant lists. We propose a systematic solut... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TKDE.2015.2475735 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | Field | DocType |
Context,HTML,Containers,Data mining,Context modeling,Watches,Peer-to-peer computing | HTML element,Query optimization,Data mining,Web search query,Query language,Faceted search,Information retrieval,Query expansion,Computer science,Sargable,Web query classification | Journal |
Volume | Issue | ISSN |
28 | 2 | 1041-4347 |
Citations | PageRank | References |
4 | 0.41 | 25 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhicheng Dou | 1 | 706 | 41.96 |
| Zhengbao Jiang | 2 | 30 | 4.50 |
| Sha Hu | 3 | 106 | 6.99 |
| Ji-Rong Wen | 4 | 4431 | 265.98 |
| Ruihua Song | 5 | 1138 | 59.33 |