Name
Abstract | ||
|---|---|---|
Abstract This paper presents Dietorecs, a novel case-based travel planning recommender system. Dietorecs has been designed by incorporating,a human,decision model that stresses individual differences in decision ,styles. Dietorecs supports decision styles by means ,of an ,adaptive behaviorwhich,is learned exploiting a case base of recommendation sessions that are stored by the systems. Users can enter the system through three main functional doors that fit groups of decision styles, but they can eventually switch the type of support required. The dialogue (questions) is personalized ,using both ,the user model ,(cases) and ,statistics over the data available in the virtual catalogues provided by two DMOs. Keywords:re commender systems;trav elplann ing; decision modeling,p ersonalization. 1,Introduction There is a growing number of web sites that support a traveller in the selection of |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-7091-6027-5_25 | information and communication technologies in tourism |
Keywords | Field | DocType |
user model,information systems,information services,recommender system,information technology,decision models | Recommender system,Information system,Management information systems,Computer science,Information technology,Decision support system,Executive information system,User modeling,Decision model,Marketing | Conference |
Citations | PageRank | References |
39 | 2.61 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| d r fesenmaier | 1 | 392 | 49.31 |
| Francesco Ricci | 2 | 2597 | 165.86 |
| Erwin Schaumlechner | 3 | 48 | 3.56 |
| KW Wber | 4 | 39 | 2.61 |
| C Zanella | 5 | 39 | 2.61 |