| Revista: | Computación y sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000423330 |
| ISSN: | 1405-5546 |
| Autores: | Amel Zayan, Corinne1 Ghorbel, Leila1 Amous, Ikram1 Mezghani, Manel2 Péninou, André2 Sèdes, Florence2 |
| Instituciones: | 1Sfax University, MIRACL Laboratory, Sfax. Túnez 2Universite Paul Sabatier, Department of Computer Sciences, Toulouse, Haute-Garonne. Francia |
| Año: | 2017 |
| Periodo: | Jul-Sep |
| Volumen: | 21 |
| Número: | 3 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | Generally, the user requires customized data reflecting his current needs represented in terms of interests that are stored in his profile. Therefore, taking into account user’s profile is significant to improve the returned results. Day by day, the user becomes more and more active in social networks and uses different distributed systems. In this context, the problem is that the access to user’s interests becomes more and more difficult mainly after updating and/or enriching the user’s profile. This may produce cognitive overload problem, which is time consuming in terms of browsing the user’s profile. This problem can be solved by reorganizing user’s interests. Most of the proposed reorganization methods use machine learning algorithms and different similarity measures. As the user’s interests are characterized by their popularity and freshness, other approaches combine these characteristics into the notion of temperature in order to keep in the profile uniquely the corresponding interests for a period of time. In this paper, we propose an approach to reconstruct the user’s profile by taking into account the semantic relationships between interests and by respectively merging the temperature and the k-means learning algorithm |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Redes, Web semántica, Redes sociales, Intereses distribuidos, Intereses sociales, Similitud semántica, Algoritmos de aprendizaje |
| Keyword: | Networks, Semantic web, Social networks, Distributed interests, Social interests, Semantic similarity, Learning algorithms |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
