Name
Abstract | ||
|---|---|---|
FeedMil, a dedicated stream search engine, can help users retrieve dynamic real-time streams, focusing on quality and topic relevance rather than simple query matching. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/MIS.2010.150 | IEEE Intelligent Systems |
Keywords | Field | DocType |
stream search,social media,topic relevance,simple query matching,information retrieval,feedmil,search engine,dynamic real-time stream,dedicated stream search engine,searching social media streams,web,dynamic real-time stream retrieval,social networking (online),search engines,feed search,social media stream searching,media,feature extraction,indexing | Web search query,World Wide Web,Social media,Social network,Search engine,Information retrieval,Computer science,Search engine indexing,Feature extraction,STREAMS,The Internet | Journal |
Volume | Issue | ISSN |
25 | 6 | 1541-1672 |
Citations | PageRank | References |
8 | 0.54 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonghun Park | 1 | 491 | 37.86 |
| Yongwook Shin | 2 | 75 | 7.30 |
| Kwanho Kim | 3 | 361 | 37.49 |
| Beom-Suk Chung | 4 | 58 | 3.15 |