Name
Abstract | ||
|---|---|---|
AbstractRecommender systems aim to support decision-makers by providing decision advice. We review briefly tools of Multi-Criteria Decision Analysis MCDA, including aggregation operators, that could be the basis for a recommender system. Then we develop a multi-criteria recommender system, STROMa SysTem of RecOmmendation Multi-criteria, to support decisions by aggregating measures of performance contained in a performance matrix. The system makes inferences about preferences using a partial order on criteria input by the decision-maker. To determine a total ordering of the alternatives, STROMa uses a multi-criteria aggregation operator, the Choquet integral of a fuzzy measure. Thus, recommendations are calculated using partial preferences provided by the decision maker and updated by the system. An integrated web platform is under development. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.4018/IJDSST.2017100101 | Periodicals |
Keywords | Field | DocType |
Choquet Integral, MCDA, Recommender System | Recommender system,Data mining,Multiple-criteria decision analysis,Computer science,Matrix (mathematics),Fuzzy logic,Operator (computer programming),Choquet integral | Journal |
Volume | Issue | ISSN |
9 | 4 | 1941-6296 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soumana Fomba | 1 | 0 | 0.34 |
| Pascale Zarate | 2 | 22 | 4.78 |
| D. Marc Kilgour | 3 | 571 | 70.61 |
| Guy Camilleri | 4 | 42 | 12.96 |
| Jacqueline Konaté | 5 | 0 | 0.34 |
| Fana Tangara | 6 | 16 | 2.42 |