Name
Abstract | ||
|---|---|---|
In this paper we discuss personalized planning (as opposed to personalized information retrieval) where instead of rec- ommending atomic information assets to users, the goal is to construct composite plans that reflect the complex prob- lem solving preferences of users within a particular domain. Specifically, we describe our dual approach to personalized route planning and bring together, for the first time, results to demonstrate the potential of this approach. |
Year | Venue | Keywords |
|---|---|---|
2002 | FLAIRS Conference | personalized route planning,shared experiences,information retrieval |
Field | DocType | ISBN |
Route planning,Asset (computer security),Computer science,Complex problem solving,Human–computer interaction,Artificial intelligence,Multimedia,Machine learning | Conference | 1-57735-141-X |
Citations | PageRank | References |
7 | 0.82 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorraine Mcginty | 1 | 687 | 48.17 |
| Barry Smyth | 2 | 5711 | 414.55 |