Enhancing information retrieval performance by using social analysis
Bibliographic Data
| ID | 16859262 |
|---|---|
| Authors | Hamid Khalifi (0000-0002-3367-9748, Université Moulay Ismail de Meknes), Sarah Dahir (0000-0003-4350-9408, Université Moulay Ismail de Meknes), Abderrahim El Qadi (0000-0001-6000-2428, Mohammed V University, corresponding author), Youssef Ghanou (0000-0001-7425-7106, Université Moulay Ismail de Meknes) |
| Year | 2020 |
| Volume | 10 |
| Issue | 1 |
| Publication date | 2020-12-01 |
| 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/s13278-020-00635-w |
| OpenAlex | W3022138475 |
| Language | EN |
| Citations received | 1 |
| References cited | 40 |
Computer security · Data science · Exploit · Information exchange · Information quality · Information retrieval · Information system · Social media · World Wide Web · Computer Science · Expert finding and Q&A systems · Information Retrieval and Search Behavior · Recommender Systems and Techniques
| Citations per year | 0.17 |
|---|---|
| Citation span | 2020 - 2020 (1) |
| Highly cited | No |