Name
Abstract | ||
|---|---|---|
Existing semantic approaches to contextual advertising effectively match relevant ads to webpages in terms of topical intent. The authors observe, however, that there's still much room for improvement. In this article, they seek to utilize the verbal intent, which complements topical intent, in semantic contextual advertising. Verbal intent describes what a user wants to do, that is, the action pe... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MIS.2017.45 | IEEE Intelligent Systems |
Keywords | Field | DocType |
Advertising,Semantics,Context awareness,Taxonomy,Information retrieval,Computational modeling | Data mining,Verb,Contextual advertising,Semantic search,Intelligent decision support system,Web page,Ranking,Information retrieval,Computer science,Recall,Semantics | Journal |
Volume | Issue | ISSN |
32 | 3 | 1541-1672 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Woo-Jong Ryu | 1 | 22 | 6.65 |
| Jung-Hyun Lee | 2 | 188 | 23.59 |
| SangKeun Lee | 3 | 0 | 0.34 |