| Revista: | Computación y Sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000457643 |
| ISSN: | 1405-5546 |
| Autores: | Ghorbel, Leila1 Zayani, Corinne Amel1 Amous, Ikram1 Boutouria, Imen2 |
| Instituciones: | 1Sfax University, Sfax. Túnez 2Sfax University, Faculty of Sciences of Sfax, Sfax. Túnez |
| Año: | 2020 |
| Periodo: | Ene-Mar |
| Volumen: | 24 |
| Número: | 1 |
| Paginación: | 177-188 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | The user requires personalized information that depends on his/her current profile information (needs, interests, preferences, etc.). Interests are the most important information of the user's profile. There are many sources which may provide beneficial information to model the user's interests, such as social neighbors' profiles. However, the latter may provide conflicting interests (erroneous, duplicated, out of date, ambiguous, etc.) and consequently they can be considered as non-reliable sources. In this paper, we propose a probabilistic approach to handle conflicts by detecting reliable profiles so as to improve the richness of user's interests. Our approach is different from those that are previously proposed as it takes into account the organizational aspects of interests in terms of their evolutionary aspect (freshness and popularity) as well as their semantic relationships. Our experiment was conducted in a social-learning context in order to take the case of the improvement of the learner's profile content based on his/her social network. The experiment led to satisfactory results |
| Disciplinas: | Matemáticas |
| Palabras clave: | Matemáticas aplicadas, Perfiles, Usuarios, Interés social, Fiabilidad, Resolución de problemas, Probabilidad |
| Keyword: | Applied mathematics, Profile, Users, Social interest, Reliability, Problem solving, Probability |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
