Exploration of methodologies to improve job recommender systems on social networks
Bibliographic Data
| ID | 16858765 |
|---|---|
| Authors | Mamadou Diaby (Université Paris Cité, corresponding author), Emmanuel Viennet (0009-0004-0922-2934, Université Paris Cité), Tristan Launay |
| Year | 2014 |
| Volume | 4 |
| Issue | 1 |
| Publication date | 2014-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-014-0227-z |
| OpenAlex | W2089733024 |
| Language | EN |
| References cited | 27 |
Information retrieval · Machine learning · Matrix decomposition · Recommender system · Social media · Support vector machine · World Wide Web · Computer Science · Expert finding and Q&A systems · Recommender Systems and Techniques · Topic Modeling · Artificial Intelligence
| Highly cited | No |
|---|