Name
Abstract | ||
|---|---|---|
Most recommendation methods are "hard-wired" into the system and support only fixed recommendations. The purpose of this demo is to show the expressivity of flexible recommendation workflows, how flexible recommendations can be processed over relational data, and to show flexible recommendations in action through a real system used for course planning. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICDE.2009.127 | ICDE |
Keywords | Field | DocType |
course planning,relational data,real system,flexible recommendations,recommendation method,flexible recommendation,flexible recommendation workflows,databases,planning,generators,collaboration,recommender system,data mining,engines | Data mining,World Wide Web,Relational database,Computer science,Workflow,Database,Expressivity | Conference |
ISSN | Citations | PageRank |
1084-4627 | 5 | 0.54 |
References | Authors | |
9 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Georgia Koutrika | 1 | 1505 | 90.77 |
| Benjamin Bercovitz | 2 | 124 | 7.94 |
| Robert Ikeda | 3 | 136 | 8.84 |
| Filip Kaliszan | 4 | 34 | 3.83 |
| Henry Liou | 5 | 34 | 3.83 |
| Héctor García-Molina | 6 | 24359 | 5652.13 |