Name
Abstract | ||
|---|---|---|
In a social network, recommenders are highly demanded since they provide user interests in order to construct user profiles. This user profiles might be valuable to be exploited in business management or marketing, for instance. Basically, a tag recommender provides to users a set keywords that describe certain resources. The existing approaches require exploiting content information or they just ... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1093/jigpal/jzq036 | Logic Journal of the IGPL |
Keywords | Field | DocType |
folksonomy,recommender system,suggestive tagging,SVM | Ranking,Artificial intelligence,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
19 | 2 | 1367-0751 |
Citations | PageRank | References |
3 | 0.39 | 14 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elena Montanes | 1 | 168 | 15.24 |
| José Ramón Quevedo | 2 | 175 | 15.37 |
| I. Daz | 3 | 3 | 0.39 |
| Raquel Cortina | 4 | 25 | 4.93 |
| Pedro Alonso | 5 | 26 | 6.31 |
| José Ranilla | 6 | 242 | 29.11 |