Name
Abstract | ||
|---|---|---|
Automatically generating high-quality routes using real map data is difficult for a number of reasons. Real maps rarely contain the sort of information that is useful for constructing high quality routes. In addition, the notion of "route quality" is difficult to define and is likely to change from person to person. In this sense the automatic construction of high-quality routes that match the preferences of individuals is an example of a weak-theory problem, and therefore well suited to a case-based approach. In this paper we describe and evaluate a case-based route planning system that is capable of efficiently generating routes that reflect the implicit preferences of individual users. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/3-540-44527-7_37 | EWCBR |
Keywords | Field | DocType |
real map,implicit preference,case-based route planning system,case-based approach,automatic construction,high quality route,route quality,real map data,personalized route planning,individual user,high-quality route | Route planning,Computer science,sort,Human–computer interaction,Case-based reasoning,Distributed computing | Conference |
Volume | ISSN | ISBN |
1898 | 0302-9743 | 3-540-67933-2 |
Citations | PageRank | References |
18 | 4.21 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorraine Mcginty | 1 | 687 | 48.17 |
| Barry Smyth | 2 | 5711 | 414.55 |