Name
Abstract | ||
|---|---|---|
The recommendation systems aim to minimize information overload by helping user's in searching desired information. Faced with this scenario, we investigate the use of cloud factors able to have a positive influence on generating recommendations. Thus, we present a new, simple model based on cloud features which is associated with the content-based technique of recommendation. The practical applicability of data storage environments in the cloud provides the best use of cloud resources and meets user's preferences. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2590651.2590673 | EATIS |
Keywords | Field | DocType |
cloud storage,cloud-based,information filtering,recommendation system,cloud based | Recommender system,Cloud resources,Information overload,World Wide Web,Computer science,Computer data storage,Recommendation model,Cloud storage,Cloud testing,Cloud computing | Conference |
Citations | PageRank | References |
1 | 0.36 | 2 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ricardo Batista Rodrigues | 1 | 9 | 2.94 |
| Frederico Araujo Durão | 2 | 69 | 7.79 |
| Vinicius Cardoso Garcia | 3 | 298 | 34.17 |
| Carlo Marcelo Revoredo da Silva | 4 | 12 | 3.35 |
| Rafael R. Souza | 5 | 1 | 0.36 |
| Rodrigo Elia Assad | 6 | 11 | 4.98 |