Name
Abstract | ||
|---|---|---|
Social recommender systems exploit the social knowledge available in social networks to provide accurate recommendations. However, their instantiation is not straightforward due to its complexity. To alleviate this development complexity, we propose a methodology based on templates that conceptualize the behavior of such applications and can be reused to create several social recommender applications in social networks. This development methodology comprises not only templates but also a generic architecture named ARISE and a collection of software components that provide the required functionality. We prove that our social templates speed up and facilitate the development process, and demonstrate the viability of our generic architecture in two different case studies. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICTAI.2013.119 | International Journal on Artificial Intelligence Tools |
Keywords | DocType | Volume |
generic architecture,social recommender system,social network,social template,social recommender systems,development methodology,development process,social recommender application,social knowledge,accurate recommendation,reusable methodology,development complexity,recommender systems | Conference | 23 |
Issue | ISSN | ISBN |
6 | 0218-2130 | 978-1-4799-2971-9 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lara Quijano-Sanchez | 1 | 95 | 4.44 |
| Juan A. Recio-garcía | 2 | 185 | 14.75 |
| Belén Díaz-agudo | 3 | 484 | 49.71 |
| Quijano-Sanchez, L. | 4 | 2 | 0.37 |
| Recio-Garcia, J.A. | 5 | 8 | 1.13 |
| Diaz-Agudo, B. | 6 | 2 | 0.37 |