Name
Abstract | ||
|---|---|---|
Nowadays, recommender systems are a key tool in sectors such as online sales, video playback and music on demand or book recommendation systems. This paper proposes a personalized route recommendation system for users of electric vehicles, specifically for e-bike users. Around the world e-bikes have become a real alternative to other motorized modes of transport and they are used for daily commuting. A multi-agent system is used to manage the information produced by the system, which generates route recommendations for users based on the routes they had travelled previously. Recommendations are provided to users through a smart-phone application, which is in charge of registering the data on the routes users travel. |
Year | Venue | Field |
|---|---|---|
2018 | PAAMS (Workshops) | Recommender system,On demand,Computer science,Multi-agent system,Multimedia,Electric bicycle |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Hernández de La Iglesia | 1 | 0 | 0.34 |
| Álvaro Lozano Murciego | 2 | 0 | 0.34 |
| A. L. Barriuso | 3 | 20 | 6.59 |
| Gabriel Villarrubia | 4 | 183 | 24.85 |
| Juan F. De Paz | 5 | 317 | 22.52 |