Name
Abstract | ||
|---|---|---|
We present RoSeS, a running system for large-scale content-based RSS feed filtering and aggregation. The implementation of RoSeS is based on standard database concepts like declarative query languages, views and multi-query optimization. Users create personalized feeds by defining and composing content-based filtering and aggregation queries on collections of RSS feeds. These queries are translated into continuous multi-query execution plans which are optimized using a new cost-based multi-query optimization strategy. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2063576.2064016 | CIKM |
Keywords | Field | DocType |
continuous multi-query execution plan,large-scale content-based rss,standard database concept,declarative query language,continuous query processor,aggregation query,new cost-based multi-query optimization,large-scale rss,multi-query optimization,query optimization,rss | Query optimization,Web search query,Query language,Query expansion,Information retrieval,Computer science,Sargable,Web query classification,Online aggregation,RSS,Database | Conference |
Citations | PageRank | References |
2 | 0.40 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jordi Creus | 1 | 2 | 0.73 |
| Bernd Amann | 2 | 425 | 59.99 |
| Nicolas Travers | 3 | 59 | 8.91 |
| Dan Vodislav | 4 | 155 | 12.90 |