Name
Abstract | ||
|---|---|---|
Before a patent application is made, it is important to search the appropriate databases for prior-art (i.e., pre-existing patents that may affect the validity of the application). Previous work on prior-art search has concentrated on single query representations of the patent application. In the following paper, we describe an approach which uses multiple query representations. We evaluate our technique using a well-known test collection (CLEF-IP 2011). Our results suggest that multiple query representations significantly outperform single query representations. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s10791-013-9236-1 | Information Retrieval |
Keywords | Field | DocType |
collaborative filtering,patent search,prior-art | Query optimization,Data mining,Web search query,Query language,Collaborative filtering,Query expansion,Information retrieval,Patent application,Computer science,Sargable,Web query classification | Journal |
Volume | Issue | ISSN |
17 | 5-6 | 1573-7659 |
Citations | PageRank | References |
1 | 0.36 | 39 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Zhou | 1 | 342 | 25.99 |
| Mark Truran | 2 | 286 | 14.43 |
| Jianxun Liu | 3 | 640 | 67.12 |
| Sanrong Zhang | 4 | 10 | 1.53 |